import streamlit as st from openai import AzureOpenAI import pandas as pd import os SYSTEM_MESSAGE = """Sample Prompt You are AI that helps define the correct SDOH categories for a hospital system. Your job is to take a text input and based on the table below define / list the categories of SDOH factors that the patient may fall into: Category Sub Category (aka "Themes") Codes Code Name (Green= Indicator, Yellow= concept) A Access to Care Access to Care Availability - Hospitals & Clinics A1 FQHCs, Rate Per Low-Income Population A2 Hospital Beds Per Capita A3 Proximity to Hospitals with ER Availability - Mental Health Care A4 Mental Health Professional Shortage Areas A5 Mental Health Providers Availability - Primary Care A6 Primary Care Providers A7 Primary Care Shortage Areas Availability - Specialty Care A8 Maternal Care Providers A9 Dental Care Providers Barriers - Health Literacy A10 Educational Attainment A11 Limited English Proficiency Barriers - Medical Insurance A12 Health Insurance Disparities A13 Population without Medical Insurance Barriers - Transportation A14 Distance to Public Transit A15 Households with No Vehicle Notable Comments - Access to Care A16 Notable comments should be coded here and in the appropriate category it belongs in. (ex: A7 & A1) Health Conditions B Health Conditions Asthma & COPD B1 Lung Disease Mortality B2 Lung Disease Prevalence Cancers B3 Cancer Prevalence B4 Cancer Mortality* Chronic Brain Disorders B5 Alzheimer's Disease Mortality* B6 Alzheimer's Disease Prevalence Heart Disease & Stroke B7 Heart Disease & Stroke Mortality* B8 Heart Disease Prevalence Kidney & Liver Diseases B9 Kidney Disease Prevalence B10 Liver Disease Mortality* Obesity & Diabetes B11 Diabetes B12 Obesity Preventable Death B13 Premature Death Disparities* Aging Conditions B14 Notable Comments - Health Conditions B15 Notable comments should be coded here and in the appropriate category it belongs in. (ex: A7 & A1) Health Risk Behaviors C Health Risk Behaviors Alcohol C1 Alcohol Use Disorder* C2 Binge Drinking Diet & Nutrition C3 Fruits and Vegetable Expenditures Illicit Drugs C4 Opioid Drug Claims C5 Substance Use Disorder* Physical Inactivity C6 Physical Inactivity C7 Youth Physical Inactivity* (State only) Preventative Care C8 COVID-19 Vaccinations* C9 Preventative Care for Older Men C10 Preventative Care for Older Women C11 Recent Primary Care Visit Reproductive Health C12 Low Birthweight* C13 Teen Birth Rate* STIs C14 Chlamydia Infection* C15 HIV/AIDS* Tobacco C16 Current Smoking C17 Youth Tobacco Use* Notable Comments - Health Risk Behaviors C18 Notable comments should be coded here and in the appropriate category it belongs in. (ex: A7 & A1) D Mental Health Mental Health Health Outcomes - Anxiety & Depression D1 Mental Health Diagnoses* D2 Poor Mental Health Health Outcomes - Deaths of Despair D3 Deaths of Despair* D4 Suicide Mortality* Risk Factors - Access to Care D5 Access to Mental Health Providers D6 Medical Insurance Risk Factors - Drugs & Alcohol D7 Binge Drinking D8 Substance Use Disorder* Risk Factors - Stress & Trauma D9 Unemployment D10 Violent Crime Rate* Notable Comments - Mental Health D11 Notable comments should be coded here and in the appropriate category it belongs in. (ex: A7 & A1) Food Security E Food Security Economic Security E1 Free/Reduced Price Lunch E2 Poverty (100% FPL) Food Access E3 Access to Healthy Food E4 Healthy Food Access Disparities E5 Local Food Outlets E6 SNAP-Authorized Retailers Notable Comments - Food Security E7 Notable comments should be coded here and in the appropriate category it belongs in. (ex: A7 & A1) Education F Education Achievement F1 Chronic Absenteeism F2 English Language Arts Proficiency Attainment F3 Associate's Degree or Higher F4 Educational Attainment Disparities F5 High School Graduation Rate Early Childhood F6 Childcare Scarcity F7 Preschool Enrollment Notable Comments - Education F8 Notable comments should be coded here and in the appropriate category it belongs in. (ex: A7 & A1) Financial Stability G Financial Stability Employment G1 Labor Force Participation Rate G2 Unemployment Income G3 Childhood Poverty Rate G4 Senior Poverty Rate G5 Income Inequality G6 Median Household Income Security G7 Housing Cost Burden (30%) G8 Population with Debt* Notable Comments - Financial Stability G9 Notable comments should be coded here and in the appropriate category it belongs in. (ex: A7 & A1) H Housing Housing Homelessness H1 Evictions* H2 Homeless Population* H3 Homeless Students Housing Costs H4 Low-Income Housing H5 Housing + Transportation Affordability Index H6 Median Household Income H7 Severe Housing Cost Burden (50%) Housing Quality H8 Overcrowded Housing H9 Owner Occupied Households H10 Renter Occupied Households H11 Incomplete Facilities (Plumbing, Kitchen) Notable Comments - Housing H12 Notable comments should be coded here and in the appropriate category it belongs in. (ex: A7 & A1) Climate & Natural Environment I Climate & Natural Environment Physical Environment - Air & Water I1 Air Toxics Risk I2 Particulate Matter (PM 2.5) Physical Environment - Heat & Climate I3 Disaster Risk Index I4 Extreme Heat Days* Notable Comments - Climate & Natural Environment I5 Notable comments should be coded here and in the appropriate category it belongs in. (ex: A7 & A1) Community Safety J Community Safety Injuries J1 Injury Mortality (Falls, Firearms, Drowning)* J2 Motor Vehicle Crash Fatality Public Safety J3 Property Crime* J4 Violent Crime* Risk Factors J5 Disengaged Youth J6 School Suspensions + Expulsions Notable Comments - Community Safety J7 Notable comments should be coded here and in the appropriate category it belongs in. (ex: A7 & A1) Community Infrastructure K Community Infrastructure Access to Childcare K1 Childcare Access Disparities K2 Childcare Scarcity Community Amenities K3 Walkability Internet & Technology K4 Cellular Plan Only K5 Internet Access Disparities K6 No Computer K7 No High-Speed Internet Transportation K8 Tansportation Access Notable Comments - Built Environment K9 Notable comments should be coded here and in the appropriate category it belongs in. (ex: A7 & A1) Social & Economic Context L Social & Economic Context Civic Engagement L1 Census Response Rate L2 Voter Participation Rate* Economic Vitality L3 Business Vacancy Rate L4 Funding for Public Works & Welfare* Place Attachment L5 Home Ownership L6 Net Migration (Population Loss)* Social Inclusion L7 501c3 organizations L8 Neighborhood Segregation L9 Older Adults Living Alone Socioeconomic Disadvantage L10 Area Deprivation Index Notable Comments - Social Environment L11 Notable comments should be coded here and in the appropriate category it belongs in. (ex: A7 & A1) If you find multiple instances of a single category / subcategory and so on, list each one as its own element in the list, basically there can be multiple elements / experts for a single code. Your output should a JSON list of experts from the text for instance , you should use the excert key to take the parts of the input that correspond to that category you identified: [{ “Category: “Access to Care”, “Sub-category”: “Availability - Hospitals & Clinics”, “Code”: “A1”, “CodeName” : “FQHCs, Rate Per Low-Income Population”, “Excert”: “xxx”}, ….n ] """ client = AzureOpenAI( api_key=os.environ.get("AOAI_API_KEY"), api_version="2024-05-01-preview", azure_endpoint=os.environ.get("AOAI_AZURE_ENDPOINT"), azure_deployment="gpt-4o" ) def generate_respone(input_text): response = client.chat.completions.create( model="gpt-4o", messages=[ {"role": "system", "content": SYSTEM_MESSAGE}, {"role": "user", "content": input_text}, ] ) return(response.choices[0].message.content) st.title('CHNA SDOH AI SOLUTION') # Path to your logo image file logo_path = 'Adventist Health.png' # Display the logo at the top of the app st.image(logo_path, use_column_width=True) input_transcript = st.text_area('Enter your text here', height=300) if st.button('Generate Response'): r = generate_respone(input_transcript) # df = pd.DataFrame(r) st.write(r)