Anonymized Medical Case Histories

The Anonymized Medical Case Histories dataset contains 100,000 de-identified structured summaries from doctor–patient consultations in India. Each case includes patient-reported symptoms, diagnostic reasoning, clinical impressions and treatment plans, anonymized for privacy and presented in English. Ideal for training AI models in medical conversation understanding, clinical summarization and decision support.

Use this dataset for:

- Clinical Decision Support Systems: Use categorized cases to train AI that aids doctors in diagnostics and treatment planning.

AI use cases:

- Fine-Tuning Clinical LLMs for Symptom Analysis: Train models to interpret patient descriptions and suggest possible diagnoses or next steps.

- Conversation Summarization Tools: Build AI that summarizes doctor–patient conversations into structured summaries with clinical reasoning.

Technical Specifications

• Type: Text
• Quantity: 100,000 reports
• Domain: Healthcare
• Language: English (en-XX)
• Annotations/Metadata: Specialty (e.g., cardiology, oncology, orthopedics) Medical condition (e.g., diabetes, breast cancer, asthma) Gender (e.g., male, female, others) Age (e.g., pediatric, adult, geriatric) Clinical section (e.g., diagnosis, treatment plan, follow-up)
• File Format: JSON, doc.

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License Information

This dataset is covered by our standard Data license agreement. The license agreement is perpetual and allows for the commercialization of all models built on the data.