BKSBhupender Kumar Saini
Research focusCV

Aug 2024 – Dec 2024/Medical Decision Support

CARE-LLM: Interactive Dashboard for Medical Information Support

  • Medical Decision Support
  • Fraunhofer FIT & University Hospital of Cologne
Partner
Fraunhofer FIT & University Hospital of Cologne
Period
Aug 2024 – Dec 2024
Focus
Medical Decision Support

Key outcomeInteractive research demonstrator for patient-facing medical explanations, not yet a clinically deployed or clinically evaluated system

Fraunhofer FIT project page
CARE-LLM project dashboard snapshot
CARE-LLM dashboard: summaries, diagnosis, and treatment plans in one view.
CARE-LLM disease information screen with a plain-language explanation of a kidney condition and an AI health assistant chat panel
Disease Information screen: complex medical reports translated into plain language, with a chat assistant for follow-up questions.

Context

Patients living with chronic kidney disease often need to understand complex medical information, while clinicians have limited time to explain it after discharge.

Inputs

  • Medical reports and structured clinical data
  • Patient-centered information requirements

Approach

  • Designed a multi-agent LLM framework to translate complex clinical information into plain language
  • Developed an interactive dashboard focused on patient comprehension, with a chat assistant for follow-up questions
  • Explored patient-profile-based explanation, adapting depth and structure to the person reading it

Outcomes

  • Interactive research demonstrator for patient-facing medical explanations, not yet a clinically deployed or clinically evaluated system
  • Simplifying information does not mean removing important information; a useful explanation keeps its meaning while adapting language, structure, and depth to the reader

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