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Dataset Description:

This dataset is a large-scale collection of IPD (Inpatient Department) discharge summaries, containing data from 46,437 patients, designed to support the development and training of advanced healthcare AI, clinical NLP, medical analytics, and diagnostic AI systems.

It consists of real-world patient records collected from hospital environments, including detailed clinical information such as diagnosis, patient history, examination findings, treatment procedures, and discharge instructions. The dataset captures authentic medical language, clinical terminology, and narrative-style documentation used by healthcare professionals. This makes it highly valuable for building accurate, scalable, and production-ready AI systems for healthcare analytics and decision support. Additionally, this dataset can be used in pipelines for Supervised Fine-Tuning (SFT) workflows.

Dataset Specification

-Patients: 46,437
-Domain: Clinical Records
-Content: Patient demographics, diagnosis, treatment, investigations
-Data Nature: Real-world clinical narratives
-Record Type: Patient discharge summaries

Key Use Cases

-Clinical NLP and medical text understanding
-Disease prediction and classification systems
-Automated discharge summary generation
-Medical coding (ICD classification)
-Clinical decision support systems
-Information extraction from unstructured medical text
-Healthcare analytics and reporting

Value of This Dataset

-Enables real-world clinical NLP modeling
-Useful for training healthcare-specific LLMs
-Helps improve diagnosis prediction systems
-Ideal for medical documentation automation
-Facilitates accurate medical text annotation and labeling

Basic JSON Schema

{
  "patient_id": "string",
  "age": "integer",
  "sex": "string",
  "department": "string",
  "admission_date": "string",
  "discharge_date": "string",
  "diagnosis": "string",
  "complaints": "string",
  "history": "string",
  "examination": "string",
  "hospital_course": "string",
  "investigations": "string",
  "discharge_advice": "string",
  "medications": "string",
  "full_text": "string",
  "metadata": {
    "source": "string",
    "hospital_type": "string",
    "record_type": "string"
  }
}

Data Creation

Procured through formal agreements and generated in the ordinary course of business.

Considerations

This dataset is provided for research and educational purposes only. It contains only sample data. For access to the full dataset and enterprise licensing options, please visit our website InfoBay.AI or contact us directly.

-Ph: (91) 8303174762
-Email: datareq@infobay.ai
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