Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients Dr


Hemanta Shrestha is COO of wiseyak For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us Unleashing the Power of AI in Healthcare Contact us at Main Content Our Platform WiseMD Know More About WiseMD WiseMD is an AI-powered EMR solution to capture , visualize and analyze patient medical data


WiseMD is based on an algorithm that provides its users, doctors, and other health professionals, a holistic view, along with AI-driven suggestions, on patient-specific medical history enabling them to make swift and ameliorated decisions that are personalized specifically for a patient and his/her condition


Request for demo Our Products AI-Driven Diagnostics The significance of early diagnosis in solving and evading future health problems is vividly eminent


Healthcare workers have always faced challenges … Read more about AI Driven Diagnostics Telemedicine What is Vital Online Doctor? Vital Online Doctor (VOD) is an AI-enabled web and mobile application that holds electronic medical records and provides … read more about Telemedicine Data Analytics Data without analytics is close to futile


Therefore, Wiseyak’s platform has a strong query engine alongside an analytics dashboard that enables users … read more about Data Analytics aiEMR Wiseyak's EMR is an all-inclusive solution to fundamental challenges for clinical data recording faced by the current healthcare system and … Read more about aiEMR Disaster Support Natural disasters and epidemics are unfortunate events that affect people, economies, and governments unexpectedly


Although it’s hard to … read more about Disaster Support ePRO Wiseyak's ePRO (Electronic Patient Reported Outcome) is designed to enable patients and participants to submit time sensitive health information with … Read more about ePRO Our Technologies Knowledge Graph Knowledge Graphs have already become an important aspect of our daily lives


From a simple google search to personalized shopping … Read more about Knowledge Graph FHIR Patient data can be represented in a multitude of ways such as medications, encounters or images via Electronic Health Records … read more about FHIR Medical Imaging Medical Imaging refers to the techniques, technologies and process of imaging the interior of a body for clinical analysis and medical intervention, … Read more about Medical Imaging NLP Natural Language Processing (NLP) is a branch of computational linguistics, computer science, and artificial … read more about NLP WHY US? Interoperability Our system is highly interoperable that works across multiple systems within healthcare service providers


Flexibilty It allows developers and customers to rapidly build and scale the digital applications driving the future of healthcare on the platform of their choice


Speed Our system helps developers to quickly create and scale innovative apps


It allows users to deploy your electronic Patient Reported Outcomes (ePROs) in hours NOT days


Security It aims at improving healthcare data security, opens the lines of communication for the privacy and security teams, allowing them to work more closely together


Over the next few years, Artificial Intelligence (AI) will revolutionize healthcare industry and its potential of improving healthcare system is "staggering"


AI will not replace doctors but augment them by minimizing any potential misdiagnosis and improve the accuracy of medical diagnosis


Suresh Manandhar, CEO - Wiseyak Our Partners & Alliances Dhulikhel Hospital Int’l Friendship Children’s Hospital City University of New York University of Washington University of Edinburgh Bright Outcomes World Diabetes Foundation Numeric Mind APACMed HRDC Nepal Professional Computer System (P) Ltd Team Ventures Footer About Wiseyak is an AI-based healthcare startup company


At Wiseyak, we focus on building platforms to make healthcare accessible to anyone and anywhere


USA : 3600 136th PL SE Bellevue, WA 98006 Tel : +1-9736262823 NEPAL : Bhatbhateni (Naxal) Next to New Thirdeye Collection, Kathmandu 44600, NEPAL Tel : +977-9813242071 Products aiEMR ePRO Telemedicine AI Driven Diagnostics Data Analytics Disaster Support Solutions Doctors & Nurses Management Administrative For Patients Research Organizations Government International Organizations Follow us here! Copyright © 2023 Wiseyak


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us AI Driven Diagnostics The significance of early diagnosis in solving and evading future health problems is vividly eminent


Healthcare workers have always faced challenges that contribute to losing track of the bigger picture and missing important cues in the data


In cases where traditional measures cannot foresee and confirm an accurate diagnosis, the use of AI in disease diagnostics can uncover these cues and provide suggestions to healthcare professionals in augmenting the decision-making process


AI-Driven Diagnostics are ways to identify patterns in patients’ medical data via the utilization of AI algorithms


They provide healthcare professionals with insights and information on any patient’s medical records that could have been easily missed


AI-Driven Diagnostics help ease the diagnostic burden of healthcare workers by providing fast, reliable, and accurate information about patients’ medical conditions/histories


WiseMD , a collective platform with AI-Driven Diagnostic capabilities for healthcare data, developed by Wiseyak, has been built with first-class support for interoperability and manifold uses, from population health, and clinical trial to the patient registry and specialized EMRs


WiseMD is based on an algorithm that provides health professionals a holistic view, along with AI-driven suggestions, on patient-specific medical history enabling them to make swift and ameliorated decisions personalized specifically for a patient and his/her condition


Footer About Wiseyak is an AI-based healthcare startup company


USA : 3600 136th PL SE Bellevue, WA 98006 Tel : +1-9736262823 NEPAL : Bhatbhateni (Naxal) Next to New Thirdeye Collection, Kathmandu 44600, NEPAL Tel : +977-9813242071 Products aiEMR ePRO Telemedicine AI Driven Diagnostics Data Analytics Disaster Support Solutions Doctors & Nurses Management Administrative For Patients Research Organizations Government International Organizations Follow us here! Copyright © 2023 Wiseyak Go to mobile version


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us Telemedicine What is Vital Online Doctor? Vital Online Doctor (VOD) is an AI-enabled web and mobile application that holds electronic medical records and provides doctors and patients a seamless platform for remote virtual consultations and follow-ups


VOD complies with FHIR and HL7 standards, and produces interoperable reports for downstream analysis


VOD follows WHO guidelines for screening patients and can be customized to meet additional criteria for the evolving situation


VOD is available for patients, doctors, hospitals and medical test providers


It is a cloud-based system and can be integrated with existing hospital systems


How does Vital Online Doctor work? Patient logs in and inputs details AI determines whether its COVID-19 related or other matter If COVID-19 related then the app will follow the Rapid COVID-19 Screening — If other health issue the AI will direct the inquiry to the relevant medical professional Depending on the severity of the case and availability of the doctors our AI will allocate an online appointment Patient and doctor can speak, message, share pictures and video call without sharing their personal number Doctors can request for medical tests through the app which then suggests patients on the nearest medical centre to get the tests done Medical results can be uploaded and the patient and doctor will be notified Doctors can interact with other doctors including specialists to discuss patient recovery plan Follow-ups can be arranged through the app How Vital Online Doctors will help? Prioritize and identify patients who require immediate hospital treatment versus who can be served remotely Reduce contact points to decrease contamination of communicable diseases and free up valuable hospital resources to focus effectively on Covid-19 cases in the current scenario Offer access to remote health consultants in all medical areas Interoperable patient data enabling doctors from different hospitals to communicate effectively and in real-time Enable patients to have access to their medical records including medication history at all times Provide aggregated data & information graphs to visually identify trend, risks, geographic concentration to make informed actionable next steps Footer About Wiseyak is an AI-based healthcare startup company


At Wiseyak, we focus on building platforms to make healthcare accessible to anyone and anywhere


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us Data Analytics Data without analytics is close to futile


Therefore, Wiseyak’s platform has a strong query engine alongside an analytics dashboard that enables users to customize their view and analyze information to make better decisions


Being able to visually see graphical data representation can help in identifying problems and finding solutions


How does Analytics at Wiseyak work? Depending on your requirements, we will work with you to offer visual representations of important information


Our dashboards are easily customizable – similar to creating graphs from excel or even easier


Therefore, it’s easier for us to customize your data into graphs, tables, charts, and maps


The representations will help you see a clearer picture of the data crucial to you and make the right decisions


Learn more about how our analytics can help: hospitals doctors patients research organizations policymakers , and more Footer About Wiseyak is an AI-based healthcare startup company


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us aiEMR Wiseyak’s EMR is an all-inclusive solution to fundamental challenges for clinical data recording faced by the current healthcare system and professionals


Our AI powered EMR streamlines workflows through intuitive data entry in a structured manner


Our cloud based EMR is effortlessly customizable, highly interoperable and allows seamless integration


EMR : A holistic solution to healthcare management Unstructured data in healthcare and lack of intuitive health record management has created inefficiency for healthcare professions


We set out to solve this and created Wiseyak EMR


Our FHIR solution allows structured recording of healthcare data


Harnessing the power of AI, Wiseyak EMR is intuitive and speeds up workflow for healthcare professionals


Interoperability & Seamless integration Wiseyak EMR is highly interoperable that works across multiple systems within healthcare services providers


Customization at your fingertips We understand that needs for each healthcare provider differ and will evolve


Wiseyak EMR is highly customizable and can be tailored to meet the specific needs


The best part: no special coding knowledge is needed for such customization


Footer About Wiseyak is an AI-based healthcare startup company


At Wiseyak, we focus on building platforms to make healthcare accessible to anyone and anywhere


USA : 3600 136th PL SE Bellevue, WA 98006 Tel : +1-9736262823 NEPAL : Bhatbhateni (Naxal) Next to New Thirdeye Collection, Kathmandu 44600, NEPAL Tel : +977-9813242071 Products aiEMR ePRO Telemedicine AI Driven Diagnostics Data Analytics Disaster Support Solutions Doctors & Nurses Management Administrative For Patients Research Organizations Government International Organizations Follow us here! Copyright © 2023 Wiseyak Go to mobile version


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us Disaster Support Natural disasters and epidemics are unfortunate events that affect people, economies, and governments unexpectedly


Although it’s hard to predict/prevent such events, disaster management, preparedness, response, and coordination can play a crucial role in mitigating the effects, controlling the situation, and making the best use of available resources including alleviating the pressures around our healthcare system


Through the COVID-19 pandemic, Wiseyak is rolling out various products for disaster management, which one can use for other natural disasters that are not only limited to earthquakes, floods, landslides, heavy rain, drought, famine, etc


IVR (Interactive Voice Response) and SMS (short message service) population survey By gathering population information promptly, disaster response efforts can be streamlined and better managed


Through our automated IVR and SMS system, we can send questionnaires at a large scale and gather important data that can help governments and organizations in resource management, population health tracking, and identifying risk areas


Contact Tracing and Monitoring Our technology can ring-fence and track higher-risk patients and provide targeted tracing for potential spread of diseases utilizing phone location, contact data, and network provider data


Our facial recognition system which has multiple users can also help as a secure way of registering patients and allows for surveillance of people in mandatory quarantine


Health Screening Forms Our WiseMD platform can generate customizable forms for screening patients during pandemics


[refer to Rapid Covid-19 Screening] Analytics Dashboard Our GPS tracking and all the data collected from our disaster response as well as other medical data can be anonymized (preserving data privacy rights) and aggregated at a population level


This data shown on our dashboard can identify areas of risk, populations at risk and help healthcare infrastructure as well as supply management in times of disaster


This will allow for data-informed targeted intervention Footer About Wiseyak is an AI-based healthcare startup company


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us ePRO Wiseyak’s ePRO (Electronic Patient Reported Outcome) is designed to enable patients and participants to submit time sensitive health information with ease via app or web


Our ePRO is easily customizable and allows efficient setup and trial management for providers


Benefits of ePRO: Increased Engagement: Patients and participants will have easy access via mobile, tablet or laptop


With offline capability, recorded information is synced once connected online


Intuitive forms layout and design makes data entry effortless


Accurate & Interoperable Data: Wiseyak ePRO uses FHIR and has autocomplete feature


The data collected is structured and prevents submission of irrelevant information


Easy Monitoring: Wiseyak ePRO provides real-time data management


Researchers will have instant access to the data collected


Consistency can be maintained through alerts and reminders


Footer About Wiseyak is an AI-based healthcare startup company


At Wiseyak, we focus on building platforms to make healthcare accessible to anyone and anywhere


USA : 3600 136th PL SE Bellevue, WA 98006 Tel : +1-9736262823 NEPAL : Bhatbhateni (Naxal) Next to New Thirdeye Collection, Kathmandu 44600, NEPAL Tel : +977-9813242071 Products aiEMR ePRO Telemedicine AI Driven Diagnostics Data Analytics Disaster Support Solutions Doctors & Nurses Management Administrative For Patients Research Organizations Government International Organizations Follow us here! Copyright © 2023 Wiseyak Go to mobile version


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us Doctors & Nurses Time is valuable for everyone


Our products are designed to streamline the workflow for doctors and nurses, enabling them to do what they are supposed to do i.e


The designed product will make patient data entry and management structured and intuitive


EMR Ease of patient information entry through autofill features Structured data management based on FHIR Interoperable with other service providers AI Medical Diagnostics Assists in decision making providing probable diagnosis High accuracy as the diagnosis is derived from structured data Telemedicine Efficient utilization and optimization of doctors’ time Reduced contamination risk Increased reach to the patient Footer About Wiseyak is an AI-based healthcare startup company


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us Management Administrative Aggregated information related to various aspects of patient flow is crucial for hospital management and administrative staff for effective decision making


See how our products supports management and administrative staff Analytics Access to real time dynamic dashboards Customizable and intuitive charts and graphs Need based resource management based on real data Predictive features inbuilt for future planning Disaster Support Accurate resource mobilization, allocation and management Enable streamlined communication and sharing of information with other entities Footer About Wiseyak is an AI-based healthcare startup company


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us For Patients At Wiseyak, our aim is to make quality healthcare available to all through technology


Therefore, patients are at the heart of our solution


Our patient facing technology include Vital Online Doctor – our telemedicine mobile application and our disaster response technology


How does Vital Online Doctor help Patients? Allows patients to access medical advice anytime from anywhere from your mobile device Access appointments through the app for both General Physicians and Specialist Gives patient the power of owning their data and making holistic decisions on their health Seamlessly use one platform for all medical needs from connecting with doctors, to reviewing test reports, to tracking health, to referring to specialists, to buying medicine, to scheduling follow-ups


View nearest medical center with available resources such as tests and doctors to avoid long waiting times Get medical reports electronically as soon as they are ready – reducing travel and wait time Check our other hospital services: For doctor/ nurse and management/administrative staff


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us Research Organizations Research organisations can range from public health research to drug/vaccine development all of whom need data that can help advance their research


At Wiseyak we have the solutions tailored for you


EMR If you are working with a hospital on a clinical trial or research you can use our platform to manage this data, make search queries and filter through the data for your specific need


Access anonymized data for analysis, clinical trials and drug creation Structured data management based on FHIR Interoperable with other service providers and existing data platforms ePRO Manage and review data of patients on clinical trial in a seamless platform Consistency of patient information collection through UMLS based suggestions Structured data management based on FHIR Easily customizable form fields that allows effortless form creation Automated timely alerts in case of deterioration of patient’s health Analytics Access to real time dynamic dashboards Customizable and intuitive charts and graphs Need based resource management based on real data Predictive features inbuilt for future planning Disaster Support Accurate resource mobilization, allocation and management Enable streamlined communication and sharing of information with other entities Expedite research process through AI and deep learning features Footer About Wiseyak is an AI-based healthcare startup company


At Wiseyak, we focus on building platforms to make healthcare accessible to anyone and anywhere


USA : 3600 136th PL SE Bellevue, WA 98006 Tel : +1-9736262823 NEPAL : Bhatbhateni (Naxal) Next to New Thirdeye Collection, Kathmandu 44600, NEPAL Tel : +977-9813242071 Products aiEMR ePRO Telemedicine AI Driven Diagnostics Data Analytics Disaster Support Solutions Doctors & Nurses Management Administrative For Patients Research Organizations Government International Organizations Follow us here! Copyright © 2023 Wiseyak Go to mobile version


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us Government From the Ministry of Health to the National Drug Administration , several government bodies require population health, longitudinal data and healthcare system data


The demand for structured and good quality data that has multipurpose use is very high


Data and analytics from our platform can help make better planning decisions, data-driven policies, aid research and resource management


ePRO Gather longitudinal data in a seamless platform Consistency of population information collection through UMLS based suggestions Structured data management based on FHIR Easily customizable form fields that allows effortless form creation Analytics Access to real time dynamic dashboards Customizable and intuitive charts and graphs Need based resource management based on real data Predictive features inbuilt for future planning Disaster Support Accurate resource mobilization, allocation and management Enable streamlined communication and sharing of information with other entities Expedite research process through AI and deep learning features Footer About Wiseyak is an AI-based healthcare startup company


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us International Organizations International organisations are at the heart of delivering public health programs and coordinating international health efforts, alongside working on novel research


We believe that effective humanitarian aid especially in crisis management and disaster response requires great planning, coordination, and implementation


At Wiseyak we enable you to gather relevant information, coordinate efforts with different entities and practically implement programs through a streamlined and interoperable platform


ePRO Gather longitudinal data in a seamless platform Consistency of population information collection through UMLS based suggestions Structured data management based on FHIR Easily customizable form fields that allows effortless form creation Analytics Access to real time dynamic dashboards Customizable and intuitive charts and graphs Need based resource management based on real data Predictive features inbuilt for future planning Disaster Support Accurate resource mobilization, allocation and managemen Enable streamlined communication and sharing of information with other entities Expedite research process through AI and deep learning features Footer About Wiseyak is an AI-based healthcare startup company


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us Knowledge Sharing Sessions Knowledge Sharing sessions are an opportunity for the teams at Wiseyak to share their work and expertise with the wider community


During these sessions, team members present their work which is typically published as a blog here or other platforms


The goal of these sessions is to share knowledge and insights with others, in order to promote learning and collaboration within the organization and beyond


Bayesian Updating [latexpage] DISCLAIMER: Please note that the information provided on this blog is for general informational purposes only and is not intended as professional advice


This blog is part of Wiseyak's knowledge sharing sessions; the views and … Continue Reading about Bayesian Updating → Footer About Wiseyak is an AI-based healthcare startup company


USA : 3600 136th PL SE Bellevue, WA 98006 Tel : +1-9736262823 NEPAL : Bhatbhateni (Naxal) Next to New Thirdeye Collection, Kathmandu 44600, NEPAL Tel : +977-9813242071 Products aiEMR ePRO Telemedicine AI Driven Diagnostics Data Analytics Disaster Support Solutions Doctors & Nurses Management Administrative For Patients Research Organizations Government International Organizations Follow us here! Copyright © 2023 Wiseyak


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us Blogs Current AI Trends in Healthcare The gradual increment in the application of Artificial Intelligence in healthcare has been pretty evident in recent years


The year 2020, although unfortunately filled with chaos and the unexpected pandemic, has certainly experienced a revolutionary … Continue Reading about Current AI Trends in Healthcare → Artificial Intelligence in Practice In today’s rapid technology evolution, having the data and advanced analytics to support strategic decisions has become paramount


Health care models need to constantly adapt to the changing environment to avoid being irrelevant


Historically, the … Continue Reading about Artificial Intelligence in Practice → Telemedicine in Fostering Healthcare Today, a group of surgeons in one part of the world are performing surgery, guided by a skilled surgeon from a remote part of the world


Similarly, some undergrads in Germany are learning from medical professors from New York


This wouldn’t have been … Continue Reading about Telemedicine in Fostering Healthcare → Healthcare Data Model Challenges Health and healthcare are the most crucial part of a human's life


The drift of healthcare from traditional methods to EMRs, EHRs and other AI in healthcare have been inevitable


The change has bought us close to paper-free systems and have … Continue Reading about Healthcare Data Model Challenges → Paradigm Shift in Medical Diagnosis: The AI-Frontier The Early Paradigm of Healthcare The paradigm shift in medical diagnosis of AI was inevitable


The healthcare system changed tremendously in the last century


In the early 1900s, a physician treatment was only possible at a patient’s home


The very … Continue Reading about Paradigm Shift in Medical Diagnosis: The AI-Frontier → Footer About Wiseyak is an AI-based healthcare startup company


At Wiseyak, we focus on building platforms to make healthcare accessible to anyone and anywhere


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us Wiseyak News Team Ventures invests $250K in #AI health tech startup Wiseyak Inc


Wiseyak specializes in Artificial Intelligence and Machine Learning techniques and offers unique solutions to clinical decision support across the healthcare industry in a unified platform – for hospitals, doctors, healthcare workers, research … Continue Reading about Team Ventures invests $250K in #AI health tech startup Wiseyak Inc


→ AI healthtech startup WISEYAK raises $250K from PE firm Team Ventures Artificial Intelligence-based healthtech startup WISEYAK announced that it has secured funding of a quarter-million US dollars from Nepalese alternative investment firm Team Ventures


… Continue Reading about AI healthtech startup WISEYAK raises $250K from PE firm Team Ventures → Nepalese PE Firm Team Ventures Invests in AI Healthtech Startup Wiseyak Nepalese alternative investment firm Team Ventures has invested about $250,000 in artificial intelligence (AI)-based health tech startup WISEYAK


WISEYAK has developed an AI and Machine Learning (ML) technology-based platform that offers unique … Continue Reading about Nepalese PE Firm Team Ventures Invests in AI Healthtech Startup Wiseyak → Footer About Wiseyak is an AI-based healthcare startup company


USA : 3600 136th PL SE Bellevue, WA 98006 Tel : +1-9736262823 NEPAL : Bhatbhateni (Naxal) Next to New Thirdeye Collection, Kathmandu 44600, NEPAL Tel : +977-9813242071 Products aiEMR ePRO Telemedicine AI Driven Diagnostics Data Analytics Disaster Support Solutions Doctors & Nurses Management Administrative For Patients Research Organizations Government International Organizations Follow us here! Copyright © 2023 Wiseyak


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us Job Vacancy QA Automation Engineer QA Automation Engineer Job Description We are seeking a talented QA automation engineer to design testing procedures for our software applications


In this role, will be responsible for analyzing the functionality of applications and designing … Continue Reading about QA Automation Engineer → Application Designer – UI/UX Job Description Wiseyak is looking for an experienced mid-level designer to join our team as we work to revolutionize the healthcare landscape


Our mission is to provide our customers with smart, elegant, and innovative solutions that hold … Continue Reading about Application Designer – UI/UX → Mobile Application Developer – React Native Job Description Wiseyak is looking for an experienced mid-level developer to join our team as we work to revolutionize the healthcare landscape


Our mission is to provide our customers with smart, elegant, and innovative solutions that hold … Continue Reading about Mobile Application Developer – React Native → DevOps Engineer Job description At Wiseyak, user experience is at the forefront of everything we do


To help us build functional systems that improve user experience we are now looking for an experienced DevOps Engineer


They will be responsible for deploying … Continue Reading about DevOps Engineer → Full Stack JavaScript Developer – React Job Description We are looking for a great JavaScript developer who is proficient with React.js


Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (such as Flux or … Continue Reading about Full Stack JavaScript Developer – React → Footer About Wiseyak is an AI-based healthcare startup company


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us Knowledge Graph Knowledge Graphs have already become an important aspect of our daily lives


From a simple google search to personalized shopping experiences, that include recommendations from online stores or virtual voice assistants (such as Alexa, Siri, or Google Assistant), we have been interacting with Knowledge Graphs one way or another


Knowledge Graphs are directed and labeled graphs, incorporated with labels that have well-defined meanings


These represent a compelling abstraction for organizing the world’s structured knowledge over the internet and a way to interlink descriptions of entities extracted from multiple data sources


They provide a structure and a common interface for all data and enable the creation of smart multilateral relations throughout the databases


Meaningfully connecting datasets is a powerful strategy for every business, even more so in healthcare as it helps decision-makers and users, and allows computers to gain context within the existing knowledge


Knowledge Graphs have also started to play a central role in machine learning as a method to incorporate world knowledge, as a target knowledge representation for extracted knowledge, and for explaining and illustrating what is learned


How do Knowledge Graphs help? Making Better Decisions by Swift Searches Knowledge Graph gives enriched and in-depth search results, helping to provide relevant facts and contextualized answers to specific questions, rather than a broad search result that usually encompasses many relevant as well as irrelevant documents and messages – but no valuable input


Combining Disparate Data Knowledge Graphs help to combine disparate silos of data, giving the user an overview of all knowledge – not only within a single department but also across various departments and global organizations


Bringing Together Structured and Unstructured Data Employing a Knowledge Graph technology enables connecting different types of data in meaningful ways and supporting richer data services than most knowledge management systems


Organizations can effortlessly utilize this technology to extract and discover deeper and more subtle patterns with the help of AI and Machine Learning


Future-Proofing Database with Standards With an Enterprise Knowledge Graph(EKG), organizations can benefit from higher reusability of their data while managing data models, as their Knowledge Graphs are compliant with W3C standards


Footer About Wiseyak is an AI-based healthcare startup company


At Wiseyak, we focus on building platforms to make healthcare accessible to anyone and anywhere


USA : 3600 136th PL SE Bellevue, WA 98006 Tel : +1-9736262823 NEPAL : Bhatbhateni (Naxal) Next to New Thirdeye Collection, Kathmandu 44600, NEPAL Tel : +977-9813242071 Products aiEMR ePRO Telemedicine AI Driven Diagnostics Data Analytics Disaster Support Solutions Doctors & Nurses Management Administrative For Patients Research Organizations Government International Organizations Follow us here! Copyright © 2023 Wiseyak Go to mobile version


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us FHIR P atient data can be represented in a multitude of ways such as medications, encounters or images via Electronic Health Records (EHRs)


Sharing of these data among clinicians or healthcare professionals can be of immense importance in provid ing proper and improved health care to patients


Fast Healthcare Interoperability Resources ( FHIR ) is a standard , created by the Health Level Seven International (HL7) healthcare standards organization, for exchanging healthcare data/ information electronically , provid ing a means for representing and sharing information among clinicians and organizations in a standard way regardless of how local EHRs represent or store the data


Thus, interoperability of data among different organizations is promoted, thereby making the required medical data readily accessible


FHIR describes data formats and elements pertaining to the EHRs and provides an application programming interface (API) for exchanging EHR s


FHIR combines the best features of previous standards from HL7, like HL7 version 2.x and HL7 version 3.x


, into a common specification while being flexible enough to meet needs of a wide variety of use cases within the healthcare ecosystem


With the use of modern web-based suite of API technology, including a HTTP-based RESTful protocol and a choice of JSON, XML or RDF for data representation , FIHR has been faster and easier to implement than ever before


This facilitate s interoperability between legacy healthcare systems, mak ing it easy to provide healthcare information to healthcare providers and individuals on a wide variety of devices from computers to tablets to cell phones, and to allow third-party application developers to develop medical applications that can be easily integrated into existing systems


Why FHIR? There is a tremendous potential in connecting the billions of data points stored in electronic health records (EHRs) and clinical trial records across thousands of medical systems around the country for fostering public health


However, lack of a standardized data sharing system gravely hampers the used of those medical records in discovering n ovel diagnosis and treatment regimens


This is where FHIR comes in: it allows EHRs to “speak” with third-party applications using a common exchange standard to unlock the data stored within them


Benefits of FHIR Provides faster, real-time access to quality data Reduces burden for reporting quality measures Promotes i nteroperability Reduces effort to implement new measures Improves alignment between eCQMs & clinical decision support WiseMD from WiseYak , is an AI-powered FHIR compatible EMR solution which can be tailored to your organization’s specific needs


WiseM D is a FHIR compliant platform enabling integration with other FHIR-based applications for captur ing , visualiz ing and analyz ing patient medical data


Our embedded dashboards and unified data model make it much easier for clinicians and administrators to track down and understand the cost and quality of medical care specific to each patient


Being a FHIR-based application , WiseMD can scale vertically and horizontally to cost-effectively handle any workload, data or users


Click here to know more about WiseMD Footer About Wiseyak is an AI-based healthcare startup company


At Wiseyak, we focus on building platforms to make healthcare accessible to anyone and anywhere


USA : 3600 136th PL SE Bellevue, WA 98006 Tel : +1-9736262823 NEPAL : Bhatbhateni (Naxal) Next to New Thirdeye Collection, Kathmandu 44600, NEPAL Tel : +977-9813242071 Products aiEMR ePRO Telemedicine AI Driven Diagnostics Data Analytics Disaster Support Solutions Doctors & Nurses Management Administrative For Patients Research Organizations Government International Organizations Follow us here! Copyright © 2023 Wiseyak Go to mobile version


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us Medical Imaging Medical I maging refers to the technique s, technologies and process of imaging the interior of a body for clinical analysis and medical intervention, as well as visual representation of organs and tiss ues , ultimately for diagnosis, monitoring and treatment of medical conditions related to these organs


Medical Image Analysis and Computer Aided Diagnosis (CAD) systems, in close development with novel imaging techniques, have revolutionized healthcare in recent years


Th e se developments have allowed doctors to achieve a much more accurate diagnosis, at an early stage, of the most important diseases


Technology behind the development of CAD systems stems from various research areas in computer science such as: artificial intelligence, machine learning, pattern recognition, computer vision, image processing and sensors and acquisition


Analysis of medical images from imaging techniques such as MRI, CT-scans, X-rays and so on is quite intricate making it easier to miss important hidden cues in the given data


The use of AI based techniques on these image data can provide insightful information on not only early diagnosis but for treatment of the patient as well


Wiseyak is continuously striving to develop AI based medical image analysis tools for a wide array of use cases on various diseases


While we may still be in early stages, the end goal would be to incorporate these tools into the WiseMD platform in order to create a truly intelligent platform which can aid in diagnostics and treatment through clinical decision support using advanced medical image analysis


Footer About Wiseyak is an AI-based healthcare startup company


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us NLP Natural Language Processing (NLP) is a branch of computational linguistics, computer science, and artificial intelligence that helps computers analyze, understand, interpret and manipulate human language , in its pursuit to fill the gap between human communication and computer understanding


It was formulated to build software that generates and comprehends natural languages so that a user can have natural conversations with his or her computer instead of through programming or artificial languages like Java or C


Natural language processing strives to build machines that understand and respond to text or voice data—and respond with text or speech of their own—in much the same way humans do


IBM The ideal result of NLP is a computer capable of “understanding” the contents of documents, including the contextual nuances of the language within them


The technology can then accurately extract information and insights contained in the documents as well as categorize and organize the documents themselves


Specific tasks for NLP systems may include: Summarizing lengthy blocks of narrative text, such as a clinical note or academic journal article, by identifying key concepts or phrases present in the source material Mapping data elements present in unstructured text to structured fields in an electronic health record in order to improve clinical data integrity Converting data in the other direction from machine-readable formats into natural language for reporting and educational purposes Answering unique free-text queries that require the synthesis of multiple data sources Engaging in optical character recognition to turn images, like PDF documents or scans of care summaries and imaging reports, into text files that can then be parsed and analyzed Conducting speech recognition to allow users to dictate clinical notes or other information that can then be turned into text NLP in Healthcare In the healthcare industry, Natural language processing has many potential applications


NLP can enhance the completeness and accuracy of electronic health records (EHRs) by translating free text into standardized data


It can fill data warehouses and semantic data lakes with meaningful information accessed by free-text query interfaces


It may be able to make documentation requirements easier by allowing providers to dictate their notes or generate tailored educational materials for patients ready for discharge


But perhaps of greatest interest right now, especially to providers in desperate need of point-of-care solutions for incredibly complex patient problems, NLP can be – and is being – used for clinical decision support


The most famous example of a machine learning NLP in the healthcare industry is IBM Watson, which has dominated headlines due to its growing expertise and applications in clinical decision support (CDS) for precision medicine and cancer care


There is a huge amount of data in the healthcare space and finding the best ways to extract what’s relevant and bring it together to help clinicians make the best decisions for their patients is a new challenge that the industry faces


Natural language processing algorithms can be run against these medical data to automatically extract features or risk factors


A few of the many examples of NLP in the clinical decision support and risk stratification realms include: In 2013, the Department of Veterans Affairs used NLP techniques to review more than 2 billion EHR documents for indications of PTSD, depression, and potential self-harm in veteran patients


The pilot was 80 percent accurate at identifying the difference between records of screenings for suicide and mentions of actual past suicide attempts


Researchers at MIT in 2012 were able to attain a 75 percent accuracy rate for deciphering the semantic meaning of specific clinical terms contained in free-text clinical notes, using a statistical probability model to assess surrounding terms and put ambiguous terms into context


Natural language processing was able to take the speech patterns of schizophrenic patients and identify which were likely to experience an onset of psychosis with 100 percent accuracy


The small proof-of-concept study employed an NLP system with “a novel combination of semantic coherence and syntactic assays as predictors of psychosis transition.” At the University of California Los Angeles, researchers analyzed electronic free text to flag patients with cirrhosis


By combining natural language processing of radiology reports with ICD-9 codes and lab data, the algorithm attained incredibly high levels of sensitivity and specificity


Researchers from the University of Alabama found that NLP identification of reportable cancer cases was 22.6 percent more accurate and precise than manual review of medical records


The system helped to separate cancer patients whose conditions should be reported to the Cancer Registry Control Panel from cases that did not have to be included in the registry


Natural language processing in healthcare is currently in its initial phases, but its applications are already starting to create ripples in the healthcare sector


Cognitive computing and semantic big data analytics projects, both of which typically rely on NLP for their development, are seeing major investments from some recognizable names


From the most cutting-edge precision medicine applications to the simple task of coding a claim for billing and reimbursement, NLP has nearly limitless potential to turn unstructured data in electronic health records from burden to boon


Being a healthcare solutions company, Wiseyak is aware of the potential of NLP in healthcare and is proactively working to develop NLP powered tools to better understand healthcare data


While we may still be in early stages of development, the end goal would be to incorporate these tools into the WiseMD platform in order to create a truly intelligent platform which can aid in diagnostics and treatment through clinical decision support


Footer About Wiseyak is an AI-based healthcare startup company


At Wiseyak, we focus on building platforms to make healthcare accessible to anyone and anywhere


USA : 3600 136th PL SE Bellevue, WA 98006 Tel : +1-9736262823 NEPAL : Bhatbhateni (Naxal) Next to New Thirdeye Collection, Kathmandu 44600, NEPAL Tel : +977-9813242071 Products aiEMR ePRO Telemedicine AI Driven Diagnostics Data Analytics Disaster Support Solutions Doctors & Nurses Management Administrative For Patients Research Organizations Government International Organizations Follow us here! Copyright © 2023 Wiseyak Go to mobile version


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us ABOUT US W iseyak is an AI-based healthcare technology company operating globally with bases in Bellevue, Washington, USA and Kathmandu, Nepal


Our vision is to render quality healthcare accessible for everyone around the globe


We specialize in Artificial Intelligence and Machine Learning techniques and offer unique solutions to clinical decision support across the healthcare industry in a unified platform – for hospitals, doctors, healthcare workers, research organizations, pharmaceuticals, governmental and non-governmental organizations as well as international organizations


WHY WISEYAK? Wiseyak ensures that data is interoperable and effortlessly exchanged between platforms


Our knowledge base and products are fully based on semantic ontologies and clinical information models such as HL7 CDA and FHIR resources


Our platform, WiseMD, is a standalone system that can additionally work effortlessly with existing health data platforms


Our solutions are easily customizable for catering to varying needs of the healthcare systems globally


We want to empower individuals and organizations to be able to make insightful decisions based on real and relevant healthcare data with the latest technology


KNOW MORE ABOUT OUR PRODUCTS For Hospital: Doctors/ Nurses , Management/ Administrative staffs For Patients For Research Organizations For Policy makers: Governmental Organizations , International Organizations Footer About Wiseyak is an AI-based healthcare startup company


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us TEAM UP WITH US The Wiseyak Partnership Program We deliver superior data intelligence to your customers with WiseMD


Wiseyak’s WiseMD platform is a smart EMR/EHR medical record system that collects patient health data, stores medical records for analysis and provides better clinical decision support for healthcare professionals.With its relational and data federation capabilities, WiseMD is the fastest way to build solutions for complex data scenarios


If you are a provider to this market and have domain expertise or technical expertise, please feel free to contact us to develop a Partnership Program that suits your needs


Become A Wiseyak Partner BECOME A PARTNER REFERRAL PARTNERS VALUE ADDED RESELLERS SOLUTION PROVIDER (OEM) PARTNERS Contact Us Footer About Wiseyak is an AI-based healthcare startup company


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us MEET THE WISEYAK TEAM CEO/Chief Scientist Dr


Suresh Manandhar Chief Operating Officer Dr


Hemanta Shrestha Chief Technology Officer Ravi Bajracharya CEO/Chief Scientist Dr


Suresh Manandhar Our Co-founder, CEO and Chief Scientists at Wiseyak


He is an AI scientist with 35 years of global experience with deep expertise in natural language processing and deep learning


Formerly, he was the Head of AI Research Group at University of York


He has published over 120 scientific papers, and served on many international scientific committees


You may connect with him at Linkedin or find his scientific literature below


Hemanta Shrestha Our COO is a Data Scientist and Economist with 20+ years of experience in Predictive Modelling, Customer Analytics, Marketing analytics, Business Analytics, Data Mining and Financial Planning


Working in the US with notable telecommunication companies such as AT&T, Virgin Mobile & Nokia


He has a PhD in Economics from the University of Connecticut


Chief Technology Officer Ravi Bajracharya Our CTO with 16+ years of experience in software development for international companies


In 2017, he was a Finalist in the Reverse Pitch Competition with Marvin (AI Product)


He has extensive technical knowledge of Natural language processing, knowledge graphs, bioinformatics, UMLS, clojure, semantics and ontology


He has a BSc in Computer Science and Mathematics, Linfield University


Sanjeev Uprety Project Manager Mona Shrestha Sr


Full Stack Developer Abhigya Maskay DevOps & AI/ML Engineer Ayush Pandey Software Developer Saurab Shrestha Full Stack Developer Susil Thapa Full Stack Developer Sapana Subedi Full Stack Developer Tanusha Ayer Full Stack Developer Aakash Chaudhary Clinical Analyst Shuvani Acharya Full Stack Developer Cyrus Shrestha Administrative Manager/HR Ashifa Sheakh React Native Developer Kishan Kumar Sharma Health IT Consultant Dr


Sanjeev has 25 years of experience in Orthopaedics and Clinical Informatics (Health Information Technology) combined


He started the Clinical Informatics Department at Nepal Mediciti Hospital and implemented the Hospital Information system (HIS)


Furthermore, he established the Department of Orthopaedics at Dhulikhel hospital (KUMS) and ran the department for a couple of years as Head of Department


Currently, he is the Chief Medical Information Officer (CMIO)/ Orthopedic Surgeon at the Hospital and Rehabilitation Center for Disabled Children (HRDC)


His team has been implementing the Hospital Information System (HIS) / Radiological Information System (RIS) at HRDC


Project Manager Mona Shrestha Mona holds an MIT degree in Project Management from the University of Technology, Sydney


She has extensive experience in process optimization, development, and management


As a project manager, she enjoys ensuring that things run smoothly and creates operations that keep all stakeholders on track


She is further involved in developing strategies for creating innovative healthcare products that use AI, ML, and NLP


AI Programmer Santa Basnet Santa is an AI Programmer with his research from the University of York, UK


He has worked in the design and development of Unsupervised algorithms


His expertise lies in the field of graph-based data computation, data preparation, and IR system evaluation


He has been working on the large scale generic and scalable ontology-based graph framework development with various searching facilities


Full Stack Developer Abhigya Maskay Abhigya is a full-stack software developer with a particular focus on functional and declarative programming


He has experience with Node.js, Ruby on Rails, Haskell, Ocamlnd ReasonML, Purescript, ClojureScript, Angular & React


He’s interested in finding math behind programming, explore differentiable programming and gradient-based techniques in machine learning


DevOps & AI/ML Engineer Ayush Pandey Ayush works with DevOps Team and AI/ML Team


In the DevOps team, he oversees integration, deployment, performance & availability of core systems and microservices


In AI/ML team, he specializes in Computer Vision & Face Recognition as well as work on NLP and Data Analysis


He holds B.Sc in Computer Science and Python is the language of his choice


Software Developer Saurab Shrestha Saurab is a full-stack software developer focused on data driven software development


He works with Python and JS for web development in the React / React Native framework


He is exploring functional programming with Clojure, graph database, and medical ontology


Moreover, he has a keen interest in data science and mathematics


Full Stack Developer Susil Thapa Susil is a junior software developer


He develops web applications with Python/Django (backend) along with front-end technology like React


Full Stack Developer Sapana Subedi Sapana is a computer engineering graduate working as a Jr


She’s responsible for documentation of Wiseyak’s AI -based healthcare products and solutions, and has been closely working with Wiseyak’s AI/ML team for building as well as designing dashboards and generating content


Full Stack Developer Tanusha Ayer Tanusha holds an undergrad degree in B.Sc Computer Science


At Wiseyak, she works as a backend developer with Scala as her language of choice


Currently, She is exploring functional programming languages, graph databases, and medical ontologies


tanusha.ayer@wiseyak.com: tanusha.ayer@wiseyak.com Full Stack Developer Aakash Chaudhary Aakash is a full-stack developer who specializes in MERN Stack , JAM Stack and Mobile Applications


He has experience in JS, React, NodeJS , Electron, Python / Flask / Django, Flutter


Primarily focuses on TDD development and proper code structure


He wants to learn Data Science and Machine Learning


Clinical Analyst Shuvani Acharya Shuvani is a registered nurse of Nepal, working as a Clinical Analyst at Wiseyak


She works in the field of Electronic Medical Records, where she generates, designs, validates and publishes EMR


Full Stack Developer Cyrus Shrestha Cyrus is a tech enthusiast, passionate about creating user-friendly and responsive designs


He has an undergrad degree in Computer Science and works with technology like React to build interactive web applications at Wiseyak


Currently, Cyrus is also exploring functional programming, graph databases; and other React based frameworks


Email: cyrus.shrestha@wiseyak.com Administrative Manager/HR Ashifa Sheakh Ashifa Sheakh is the Office Manager for Wiseyak Pvt Ltd


Ashifa brings over 1 year of administrative experience in Office Management, Human Resources, and Accounting


She assists in the development and implementation of firm policies and procedures; manages and oversees the administration of Wiseyak


Email: ashifa.sheakh@wiseyak.com React Native Developer Kishan Kumar Sharma Kishan is a software engineer specializes in cross platform mobile application development


He’s experience in native Android (Kotlin/Java), React Native, Flutter, RestAPI, Firebase, Python, Anaconda, JavaScript, Go, & UI/UX


He’s interested in agile software development, data science and research


Footer About Wiseyak is an AI-based healthcare startup company


At Wiseyak, we focus on building platforms to make healthcare accessible to anyone and anywhere


USA : 3600 136th PL SE Bellevue, WA 98006 Tel : +1-9736262823 NEPAL : Bhatbhateni (Naxal) Next to New Thirdeye Collection, Kathmandu 44600, NEPAL Tel : +977-9813242071 Products aiEMR ePRO Telemedicine AI Driven Diagnostics Data Analytics Disaster Support Solutions Doctors & Nurses Management Administrative For Patients Research Organizations Government International Organizations Follow us here! Copyright © 2023 Wiseyak Go to mobile version


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us CONTACT US AT USA OFFICE 3600 136th PL SE Bellevue, WA 98006, USA PHONE: (425) 275 9977 NEPAL OFFICE Bhatbhateni (Naxal) Next to New Thirdeye Collection, Kathmandu 44600, NEPAL PHONE: 977-014429560 Email us at: info@wiseyak.com OUR LOCATION Please enable JavaScript in your browser to complete this form


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USA : 3600 136th PL SE Bellevue, WA 98006 Tel : +1-9736262823 NEPAL : Bhatbhateni (Naxal) Next to New Thirdeye Collection, Kathmandu 44600, NEPAL Tel : +977-9813242071 Products aiEMR ePRO Telemedicine AI Driven Diagnostics Data Analytics Disaster Support Solutions Doctors & Nurses Management Administrative For Patients Research Organizations Government International Organizations Follow us here! Copyright © 2023 Wiseyak


Wiseyak Bayesian Updating Rojan Shrestha 3 months ago Spread the love DISCLAIMER: Please note that the information provided on this blog is for general informational purposes only and is not intended as professional advice


This blog is part of Wiseyak’s knowledge sharing sessions ; the views and opinions expressed on this blog are those of the authors and do not necessarily reflect the official policy or position of WiseYak


Each of us holds a set of beliefs that we have formed as a result of our experiences


Every time when we need to make a decision, we tend to base it on those belief i.e


our attitude towards the world at that given time


Time is a very important dimension here because with time we update our beliefs


Although the ability to always search for the motivation to change or update self-beliefs are important for us to make a better decision yet human factors like ego, blind superstition, etc comes as a tyrannical force to prevent us from changing or updating our self-beliefs


The idea of updating beliefs in light of new evidence have also become an important part of the scientific process, Karl Popper refers this kind of occurrence as the Idea of Falsification


For instance, our previous view regarding the form of the Earth was that it was flat, but with the advent of new scientific tools, we can today conclude that it is roughly a sphere


The point is that even if the world was thought to be flat at the time, we nevertheless built roads, railroads, and other infrastructures given that the earth was flat


Therefore, we cannot hold individuals from the past who held this notion to be true responsible; as it was still a useful belief at that given time


And later we updated our beliefs, and maybe in the future from a different dimension (if exists) Earth’s form can be different from the sphere


Updating Beliefs about Ghost!! (Just a toy example) Scenario Assume you are moving into a new house; this is how the opening scene of the majority of horror movies start


You had some strange experiences and made the decision to keep watch every night for a few days to see what would happen


We are going to start with our prior belief that we had about the ghost, incorporate the evidence we collect everyday and form new opinions about the existence of the ghost


We can reflect these prevailing notions mathematically; Bayesian formula: Quantifying and Updating Beliefs If you peek at the right side of our equation; this side incorporates both our existing beliefs and the likelihood of the evidence (data); is our existing belief on which is called a Prior and P( is our likelihood of the evidence given the prior belief


Thus the left side P( )is our updated belief on


For instance, back to our example; we can assume the parameter as the probability of the ghost


Using Bayesian approach The unknown probability of ghost( ) would be treated as a random variable and given a distribution, but we already have some existing beliefs on the presence of ghosts


In bayesian Statistics they are known as Prior and can be expresses as a distribution; Let’s plot some of the Prior beliefs before we discuss its underlying distributions


Figs: Prior Distributions The above plots are some of our prior distributions which will be explained below, the shaded region indicates that the mass of probability is in that region


Prior from Fig 1 (first from the left)** implies that I am new to the planet or that I have no awareness of these phenomena because no one has ever told me about them


The first prior is hence neutral and any chances on probability of ghost from 0 to 1 is equally likely


However, we can do better because we all have some beliefs about the ghost; the rest of these priors suggest that we all hold certain beliefs about ghosts and their existence


Prior from Fig 2 (second from the left)** suggests that I am more likely to believe that ghosts don’t exist; there are, however, some chances


Similarly, Prior from Fig 3 suggests that there is a 50/50 possibility of ghost


Prior from Fig 4 suggests that “I have greater beliefs on ghosts,” ; it’s like saying I believe in Ghost but i have not meet one


Note: This is just a part of an imaginary exercise; if you are doing a generalizable study you would want to use priors based on some scientific theory or an existing experiment


Or any other priors depending upon the type of your study


Bayesian Updating Moving on with “I kind of don’t believe in ghosts”(second from the left)


This suggests that the our prior belief on absence of ghosts ( =0) is extremely likely and existence of ghosts ( =1) is extremely implausible


This does not indicate that there is no chances of ghost, just because the absence of ghosts ( =0) is quite likely


It only suggests that the existence of ghosts ( =1) is exceedingly improbable (see the figure above; it still has some mass around its tail i.e towards 1)


Let’s now enter the monitoring phase and begin gathering and documenting each of our paranormal encounters


Every day is like flipping a coin (Bernoulli trials): if we experience some paranormal activity, we record 1; otherwise, we record 0


See the mathematical instructions at the end of the article


Fig: Updating our Beliefs We begin with our preexisting belief about the ghost; if we experience any paranormal experiences, such as discovering someone under the bed, we then shift our beliefs to the right ( =1); But since it is a bayesian shift we obtain the full distribution i.e the entire mass of the probability


For instance, on Day 2, the dashed distribution represents our prior distribution whereas the solid-line distribution represents our updated belief


But an intriguing fact is that we will use this updated distribution on day 2 as our prior distribution on day 3 while we monitor the data and revise our opinions


Change In beliefs The process of updating continues until day 9, which is the present


Using the same Bayesian formula we previously encountered, we compute our updated distribution for each day


The updated distribution are called the posterior distribution


Fig: Updated Beliefs The black dotted distribution reflects our initial prior belief regarding ghosts; however, the black solid line shows our current beliefs, which lean more toward a 50/50 chance of ghost


Our understanding of the ghost has been updated as a result of our experience, and based on the updated distribution (posterior distribution), it appears that it is now time to call the priests


These systems for updating beliefs are hardwired into our brain


This is how we form an opinion on something too


The more strongly we feel about some opinion, the more difficult it is to change our minds


Even though this occurs automatically inside our brains, teaching it to our computers—is a little more tricky


You can use any programming language of your choice but the underlying mathematics are the same and are explained next


Math Section Although there are many methods for computing posterior distribution (updated belief), at its heart, it just uses the Bayesian formula that we had previously encountered


We could use different approaches like MCMC, analytical solutions and quadratic approximations depending upon the complexity of the problem


Here, we are computing the posterior, or the updated beliefs, using an analytical solution (Beta-Bernoulli Conjugacy)


Since everything that can be expressed mathematically can be coded into computers, we will attempt to express our beliefs through mathematical expressions


Beta-Bernoulli conjugacy Using the Bayesian Formula; We are interested in which is our posterior distribution i.e probability of (\theta) that there is a ghost given the data (X) where X can take value either 0 or 1


Defining our Prior and Likelihoods: is a constant and it does not depend on we can remove it from the equation Now we define our likelihood; where X is the random Variable that can take values X can take values either of Since, we have everything we need; plugging the values in above formula; let, and ; using proportionality of equations Spread the love Categories: Knowledge Sharing Tags: Bayesian , DataScience , KnowledgeSharing , Wiseyak Wiseyak Back to top Exit mobile version


Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us Bayesian Updating Spread the love DISCLAIMER: Please note that the information provided on this blog is for general informational purposes only and is not intended as professional advice


This blog is part of Wiseyak’s knowledge sharing sessions ; the views and opinions expressed on this blog are those of the authors and do not necessarily reflect the official policy or position of WiseYak


Each of us holds a set of beliefs that we have formed as a result of our experiences


Every time when we need to make a decision, we tend to base it on those belief i.e


our attitude towards the world at that given time


Time is a very important dimension here because with time we update our beliefs


Although the ability to always search for the motivation to change or update self-beliefs are important for us to make a better decision yet human factors like ego, blind superstition, etc comes as a tyrannical force to prevent us from changing or updating our self-beliefs


The idea of updating beliefs in light of new evidence have also become an important part of the scientific process, Karl Popper refers this kind of occurrence as the Idea of Falsification


For instance, our previous view regarding the form of the Earth was that it was flat, but with the advent of new scientific tools, we can today conclude that it is roughly a sphere


The point is that even if the world was thought to be flat at the time, we nevertheless built roads, railroads, and other infrastructures given that the earth was flat


Therefore, we cannot hold individuals from the past who held this notion to be true responsible; as it was still a useful belief at that given time


And later we updated our beliefs, and maybe in the future from a different dimension (if exists) Earth’s form can be different from the sphere


Updating Beliefs about Ghost!! (Just a toy example) Scenario Assume you are moving into a new house; this is how the opening scene of the majority of horror movies start


You had some strange experiences and made the decision to keep watch every night for a few days to see what would happen


We are going to start with our prior belief that we had about the ghost, incorporate the evidence we collect everyday and form new opinions about the existence of the ghost


We can reflect these prevailing notions mathematically; Bayesian formula: Quantifying and Updating Beliefs If you peek at the right side of our equation; this side incorporates both our existing beliefs and the likelihood of the evidence (data); is our existing belief on which is called a Prior and P( is our likelihood of the evidence given the prior belief


Thus the left side P( )is our updated belief on


For instance, back to our example; we can assume the parameter as the probability of the ghost


Using Bayesian approach The unknown probability of ghost( ) would be treated as a random variable and given a distribution, but we already have some existing beliefs on the presence of ghosts


In bayesian Statistics they are known as Prior and can be expresses as a distribution; Let’s plot some of the Prior beliefs before we discuss its underlying distributions


Figs: Prior Distributions The above plots are some of our prior distributions which will be explained below, the shaded region indicates that the mass of probability is in that region


Prior from Fig 1 (first from the left)** implies that I am new to the planet or that I have no awareness of these phenomena because no one has ever told me about them


The first prior is hence neutral and any chances on probability of ghost from 0 to 1 is equally likely


However, we can do better because we all have some beliefs about the ghost; the rest of these priors suggest that we all hold certain beliefs about ghosts and their existence


Prior from Fig 2 (second from the left)** suggests that I am more likely to believe that ghosts don’t exist; there are, however, some chances


Similarly, Prior from Fig 3 suggests that there is a 50/50 possibility of ghost


Prior from Fig 4 suggests that “I have greater beliefs on ghosts,” ; it’s like saying I believe in Ghost but i have not meet one


Note: This is just a part of an imaginary exercise; if you are doing a generalizable study you would want to use priors based on some scientific theory or an existing experiment


Or any other priors depending upon the type of your study


Bayesian Updating Moving on with “I kind of don’t believe in ghosts”(second from the left)


This suggests that the our prior belief on absence of ghosts ( =0) is extremely likely and existence of ghosts ( =1) is extremely implausible


This does not indicate that there is no chances of ghost, just because the absence of ghosts ( =0) is quite likely


It only suggests that the existence of ghosts ( =1) is exceedingly improbable (see the figure above; it still has some mass around its tail i.e towards 1)


Let’s now enter the monitoring phase and begin gathering and documenting each of our paranormal encounters


Every day is like flipping a coin (Bernoulli trials): if we experience some paranormal activity, we record 1; otherwise, we record 0


See the mathematical instructions at the end of the article


Fig: Updating our Beliefs We begin with our preexisting belief about the ghost; if we experience any paranormal experiences, such as discovering someone under the bed, we then shift our beliefs to the right ( =1); But since it is a bayesian shift we obtain the full distribution i.e the entire mass of the probability


For instance, on Day 2, the dashed distribution represents our prior distribution whereas the solid-line distribution represents our updated belief


But an intriguing fact is that we will use this updated distribution on day 2 as our prior distribution on day 3 while we monitor the data and revise our opinions


Change In beliefs The process of updating continues until day 9, which is the present


Using the same Bayesian formula we previously encountered, we compute our updated distribution for each day


The updated distribution are called the posterior distribution


Fig: Updated Beliefs The black dotted distribution reflects our initial prior belief regarding ghosts; however, the black solid line shows our current beliefs, which lean more toward a 50/50 chance of ghost


Our understanding of the ghost has been updated as a result of our experience, and based on the updated distribution (posterior distribution), it appears that it is now time to call the priests


These systems for updating beliefs are hardwired into our brain


This is how we form an opinion on something too


The more strongly we feel about some opinion, the more difficult it is to change our minds


Even though this occurs automatically inside our brains, teaching it to our computers—is a little more tricky


You can use any programming language of your choice but the underlying mathematics are the same and are explained next


Math Section Although there are many methods for computing posterior distribution (updated belief), at its heart, it just uses the Bayesian formula that we had previously encountered


We could use different approaches like MCMC, analytical solutions and quadratic approximations depending upon the complexity of the problem


Here, we are computing the posterior, or the updated beliefs, using an analytical solution (Beta-Bernoulli Conjugacy)


Since everything that can be expressed mathematically can be coded into computers, we will attempt to express our beliefs through mathematical expressions


Beta-Bernoulli conjugacy Using the Bayesian Formula; We are interested in which is our posterior distribution i.e probability of (\theta) that there is a ghost given the data (X) where X can take value either 0 or 1


Defining our Prior and Likelihoods: is a constant and it does not depend on we can remove it from the equation Now we define our likelihood; where X is the random Variable that can take values X can take values either of Since, we have everything we need; plugging the values in above formula; let, and ; using proportionality of equations Spread the love About Rojan Shrestha Footer About Wiseyak is an AI-based healthcare startup company


At Wiseyak, we focus on building platforms to make healthcare accessible to anyone and anywhere


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Skip to content Skip to footer Wiseyak Unleashing the Power of AI in Healthcare Products AI Driven Diagnostics Telemedicine Data Analytics aiEMR Disaster Support ePRO Solutions For Hospitals Doctors & Nurses Management Administrative For Patients For Research Organizations For Policy Maker Government International Organizations Resources Knowledge Sharing (NEW) Blogs Wiseyak News Job Vacancy Technologies Knowledge Graph FHIR Medical Imaging NLP Company About Us Team up with Us Wiseyak Team Contact Us WiseMD Platform WiseMD is an AI-powered EMR solution to capture , visualize and analyze patient medical data


WiseMD is based on an algorithm that provides its users, doctors, and other health professionals, a holistic view, along with AI-driven suggestions, on patient-specific medical history enabling them to make swift and ameliorated decisions that are personalized specifically for a patient and his/her condition


Why WiseMD? Speed, Flexibility, and Accessibility : WiseMD helps you collect, visualize and analyze healthcare data in its cloud-based semantic data platform


The cloud-based system allows rapid import and catalog of data from certified EMR vendors, all at a click of a button


Interoperable with embedded UMLS : WiseMD is a highly interoperable platform that works across multiple systems utilized by various healthcare service providers


Transfer of data is seamless and hassle-free and additionally protected via embedded UMLS (Unified Medical Language System) relationship


Features like the ability to visualize embedded medical relationship graphs, bring texts and medical images together and more have been incorporated into WiseMD system, with the health professionals in mind, making it a powerful yet user-friendly and easy-to-use tool


Deep Learning & DDx for Clinical Decision Support : WiseMD is a business intelligence platform, assisted by artificial intelligence, capable of visualizing the bottom-line/KPIs based on ingested data and forging them into actionable intelligence


The system can deploy deep-learning tools together with powerful yet simplistic visualization dashboards to derive real-time understanding from large scale data and thus, provide decision support and advanced search/query capability


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Wiseyak Paradigm Shift in Medical Diagnosis: The AI-Frontier Wiseyak 2 years ago Spread the love The Early Paradigm of Healthcare The paradigm shift in medical diagnosis of AI was inevitable


The healthcare system changed tremendously in the last century


In the early 1900s, a physician treatment was only possible at a patient’s home


The very few hospitals that existed provided minimum care


Also, medical science and technology were so primitive that physicians could not treat accurately and properly most of their patients, leaving them misdiagnosed or even leaving them to die


Fortunately, physicians became more effective thanks to the advances of the medical devices


Doctors could use stethoscopes, X-rays, ultrasound, CT and MRI scanners for diagnosis and treatments


Despite the innovation of computer 1950s, the real application of computer in medical science was still a far-fetched dream until 1970s when some Artificial Intelligence Researchers developed systems that could automate a human physician diagnosis


Unfortunately, since the system was found to provide a random diagnosis to the patient without any explanation, it was not approved by the medical community at that time resulting in a very little or no adoption of computer technologies in medical diagnosis


Paradigm Shift in Medical Diagnosis The 2010s can be considered as an inflexion point in the adoption of Artificial Intelligence (AI) medical diagnosis and Clinical Decision Support (CDS)


Over the past few years with proven use of cases, scientists and medical communities have acknowledged the real application of AI in medical diagnosis


However, the application and chances of AI to succeed in any domain largely depends on the volume and availability of data through which AI scientists can develop mathematical and statistical models to teach and train the machines for any future predictions or medical diagnosis


Using trained models and data analysis, AI can offer potential medical diagnosis better and quicker than physicians


In the healthcare industry, intelligent systems are used much more often than it used to be, especially in cancer diagnosis and treatment


AI can help save more lives due to early detection and accuracy of diagnosis


For example, according to the study from the University of Central Florida, engineers developed an AI algorithm that could accurately detect lung cancers


In general, lung cancer can be seen through a CT scanner


Hence, they fed their AI system with 1000 CT scans to check if they could find defects in patients’ lung tissues


The study revealed that the algorithm was 30 per cent more accurate than a human doctor would have been


Similarly, at the Imperial College of London, an AI system can give the best treatment strategy for a patient with sepsis and at John Radcliffe Hospital in Oxford, they use AI to detect heart defects as well as lung cancer


In addition, another study concluded promising results in their prediction of cancer survival rate


The AI tool could predict the survival rate of current ovarian cancer patients with an accuracy of 93%


BERG from Massachusetts is an AI that recently found treatment measures for Parkinson’s disease


Atomwise, another AI from California, is being used to detect and treat some of the most serious diseases such as Ebola and multiple sclerosis


Atomwise is designed to screen millions of genetic compounds and most fascinatingly, deliver results 100 times faster than the traditional pharma companies


There is a plethora of these AI-driven milestones in medical science


Thus, citing the examples could be endless


Deducing, the network of smart system has significantly changed over time from simple detection of diseases to diagnosis, helping in decision making to complete treatment with immeasurable speed and infallibility


Limitations of AI in Healthcare However, we must be aware of certain limitations of those intelligent systems


The AI doesn’t have a mind of its own and depends on the humans for its execution (this reasons for the controversial ethical quotient in AIs)


Since they feed on the data provided, it is not always infallible as humans are erroneous in themselves


In 2015, misdiagnosis of illness and a medical error accounted for 10% of all deaths in the USA


And the IBM Watson developed an application that could recommend the appropriate treatments for patients with cancer


Unfortunately, some doctors complained that it sometimes gave recommendations that could prove to be a menace for the patients


Despite the application of AI in medical diagnosis, it is still rudimentary; its impact, especially in resource-constrained regions around the world, can be huge


In developing countries like Nepal which consists of more than 80% of the rural population, AI solutions can be a game-changer and a lifesaver


Patients in rural areas can benefit from low cost AI-based clinical decision support technologies by early detection of life-threatening diseases like cancer and tuberculosis


Similarly, AI can mitigate the risks of preventable diseases caused by diabetes such as blindness, cardiovascular, kidney and skin diseases.Blindness is one of the most common diseases in the developing world


As per WHO, there are more than 39 million people worldwide of which 80% could be cured if correct and timely measures are taken beforehand


However, due to high travel costs, lack of ophthalmologists, necessary medical equipment, patients in rural areas tend to skip timely screening their eyes resulting in severe eye diseases and blindness


Wiseyak- Unleashing the Power of AI Healthcare Working along this line of technology locally here in Nepal is Wiseyak (www.wiseyak.com)


Based in Kathmandu, Wiseyak ’s team consists of AI experts and data scientists


Wiseyak is currently developing an AI-based screening tool namely WiseEyes


WiseEyes consists of AI software and a low cost nonmydriatic portable camera which is ideal for rural settings


This kind of low-cost tool powered by AI models can prevent blindness and other serious eyes diseases such as cataracts and glaucoma in rural population by a timely screening of retina and diagnosis of eye diseases


AI can undoubtedly be seen as a boon to humankind as a reliant system to prevent, diagnose and treat pathogens in patients both in resource-constrained or rural areas with healthcare resources and in urban areas with crowded hospitals


Spread the love Categories: Blogs Tags: Artificial Intelligence , Healthcare , Limitations of AI in healthcare , Wiseyak Wiseyak Back to top Exit mobile version


Wiseyak Healthcare Data Model Challenges Wiseyak 2 years ago Spread the love Health and healthcare are the most crucial part of a human’s life


The drift of healthcare from traditional methods to EMRs, EHRs and other AI in healthcare have been inevitable


The change has bought us close to paper-free systems and have introduced us to an easier approach


Eventhough these data models have a lot of advantages of their own


Some major challenges taht they have to face are mentioned below: Healthcare Data – Healthcare data is too complicated, fragmented, and difficult to model within a unified data analytics model


The data are very sensitive and need to be secure making it harder to implement these models


EMR Issues – Most existing EHR/EMR systems are not designed with usability and clinical workflow in mind


As a result, these systems become obstacles for physicians and their patients, forcing physicians to work outside of working hours to complete documentation


Traditional EMR systems have limited or no decision support features to assist physicians/doctors in their assessment and clinical process


System Interoperability – The seamless, effective, and meaningful exchange of patient information is yet to be achieved across healthcare systems


The existing EMR systems do not use open standards, making it difficult for patients and clinics to integrate medical records from multiple sources, resulting in unnecessary tests and delayed diagnoses


Spread the love Categories: Blogs Tags: AI in healthcare , Healthcare , Healthcare trends , Limitations of AI in healthcare Wiseyak Back to top Exit mobile version


Wiseyak Telemedicine in Fostering Healthcare Wiseyak 2 years ago Spread the love Today, a group of surgeons in one part of the world are performing surgery, guided by a skilled surgeon from a remote part of the world


Similarly, some undergrads in Germany are learning from medical professors from New York


This wouldn’t have been possible two decades ago


What was seemingly a novice idea since its birth in the 1960s, telemedicine or telehealth pushed further by the new generation of tech-savvy due to its convenience and cost-efficiency


Tele-medicine is a synergy of medical science and information technology


It can be said as the delivery of healthcare services using information technology and communication technology to exchange or transmit information and records for the reason of treatment, diagnosis, and prevention of diseases


The model of telemedicine gives a patient-doctor interaction through internet and video conferences without the physical availability of both the patient and the doctor and the ubiquity of wireless devices makes it feasible


Basically, as a health care service provider, telemedicine gives your institution the convenience of providing services to your patients over long distances, using limited resources available at the comfort of your own house


Since the proliferation of smart tech-devices, it has emerged as big boon today bridging hundreds of kilometer of the geographical barrier which used to pose big hindrances


Apart from bolstering patient care, it also helps to provide access to healthcare in rural areas


Accessibility has remained a perennial problem in the Nepali health care sector


The skewed ratio of doctors proves to be a major issue affecting rural health care and on many occasions, there is not enough infrastructure to accommodate patients in the remote parts of Nepal


It can be resolved with the assistance of tele-medicine


Similarly, it also helps in reducing mortality rates as it can transfer health records and diagnose earlier on


Especially popular for its cost-efficient modality, we all can agree that home monitoring programs are better than high-cost hospital visits


Tele-medicine has a strong role in facilitating collaborative care and continuity model


It creates the possibility of monitoring patient health remotely by collecting and sending medical data through electronic means for immediate interpretation


Such remote access/ monitoring is greatly beneficial for homebound critical/emergency patients where constant monitoring is a must


These are some of the many reasons for preferring tele-medicine over cumbersome hospital checkups


Furthermore, the business research company estimates that the global market valued tele-medicine at $26.6 billion in 2016 and it is expected to reach $77.2 billion by 2022


It implies that the need for installing tele-medicine facilities has grown at a rate of 19.4% during the forecast period of 2017 to 2022


It is evident that all developed and developing countries are introducing this simple yet effective technique


In the context of Nepal, presently, there are a few platforms that provide tele-medicine services such as Vital Online Doctor (VDO)


Despite some of the challenges it entails, especially in a country like Nepal, with high-cost installation and intermittent power supply in most areas, it is at its budding phase


We may be posed with problems such as lack of proper guidelines in addition to legislative muscles, the use of data transfer and safety