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LLM-Powered Electronic Medical Record Generation CSR Project

Applying LLMs to generate electronic medical records from clinical notes and medical reports

Applying LLMs to generate electronic medical records from clinical notes and medical reports

Principal Investigator

Prof. Himanshu Sinha

Objective

  • Develop a robust app to help doctors transcribe their clinical notes using LLM., Testing it across different levels of healthcare workers and health systems across states.

Description

  • We plan to use an extensive network of hospitals with which we have signed MoUs to develop a knowledge base for the LLM model. This will assist clinicians and doctors in note-taking and summarising reports., We will collaborate with these hospitals to create a database of clinical questions asked by patients and the corresponding responses given by doctors. This database will help us learn doctor-patient interactions that can be used to generate EMRs.

Impact

  • LLMs can enhance clinical note-taking by generating accurate and concise summaries, reducing clinician documentation burdens, and assisting in medical education and training., LLMs for EMR generation can improve clinical documentation, enhance personalised healthcare, address data scarcity, and streamline healthcare processes.

Budget in Lakhs

350.00

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