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AI-Driven Clinical Decision Support for Emergency Care (Johns Hopkins Health System, Baltimore, MD & Agency for Healthcare Research and Quality AHRQ)

Investigators

Diego A. Martínez

Scott R. Levin

Jeremiah Hinson

Aly Strauss

Context

Emergency care requires clinicians to make high-stakes decisions under time pressure and uncertainty.

What we do

This project examines how artificial intelligence can support clinical workflows through decision-support systems integrated into real care environments. Research focuses on human-AI interaction, workflow integration, and deployment challenges.

Why it matters

The project helps define how AI can augment — rather than replace — clinical decision-making.