AI Simulation Trains Doctors Using History
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Abstractive Health has launched Clinical Time Machine, an AI-powered simulation tool aimed at improving diagnostic training for clinicians. Available on the company’s platform, the simulation allows physicians to explore rare and complex cases drawn from historical medical records without integrating directly with electronic health records (EHRs).
Built on a HIPAA-compliant platform, Clinical Time Machine generates AI-based summaries of original documents—some centuries old—before presenting cases in a structured chart format. Physicians examine historical details, lab data, and clinical observations as they progress through simulated scenarios.
The underlying technology combines summarisation, retrieval-augmented generation (RAG), and agentic AI, supported by optical character recognition (OCR) that converts handwritten notes into structured narratives.
The simulation is currently being trialled at Weill Cornell Medicine to enhance Emergency Medicine handoffs. Abstractive Health also plans to introduce the tool in Canadian outpatient clinics through a partnership with WELL Health Technologies. The simulation aims to support learning through decision-making, not testing.
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