Principal Investigator: Verity Schaye, MD, MHPE
Co-Principal Investigator: Jesse Burk Rafel, MD, MRes
Co-Principal Investigator: Daniel Sartori, MD

With the generous philanthropic funding from Joseph and Diane Steinberg, and a grant from the National Academy of Medicine, we launched a new 3-year initiative to develop AI tools to provide feedback to residents on their diagnostic performance. This ambitious program is called Diagnosis AI Doctor (DiagnosisAId). This system will leverage insights from the team’s prior work on AI-based feedback on clinical reasoning documentation and the extensive data in NYU Langone’s electronic health record (EHR) to create a novel AI tool that could automatically detect cases of missed diagnostic opportunities. We will then develop and deploy feedback interventions using the DiagnosisAId Tool to help reduce diagnostic errors and improve patient outcomes.

This project will proceed through three phases:

• Phase I: Develop AI algorithms to identify cases of missed diagnostic opportunities
• Phase II: Design feedback interventions with the DiagnosisAId tool
• Phase III: Deploy the DiagnosisAId feedback to improve diagnostic accuracy among residents and study impact

NYU Langone Co-Investigators

Benedict Guzman, MS
Kiran Malhotra, MD
Ilan Reinstein, MS
Lexi Signoriello, PhD