معرفی
Sarah Collins Rossetti is an Associate Professor of Biomedical Informatics and Nursing at Columbia University’s Vagelos College of Physicians and Surgeons. She focuses on leveraging computational tools to reduce documentation burden in EHR systems and improve patient safety through predictive analytics.
- PhD in Nursing from Columbia University School of Nursing
- Post-Doctoral Research Fellowship at Columbia’s Department of Biomedical Informatics
Her research emphasizes AI-driven patient deterioration prediction, user-centered design, and interprofessional collaboration to enhance clinical workflows. She co-leads the CONCERN Early Warning System study, which reduced mortality risk by 35% and sepsis risk by 7.5%.
Recent publications highlight trends in generative AI limitations in EHRs, equity in predictive systems, and healthcare process modeling. She chairs AMIA’s 25×5 Task Force to reduce documentation burden by 75% by 2025.
- 2019 PECASE recipient
- 2024 Donald A.B. Lindberg Award for Informatics Innovation
- 2019 FAMIA recognition
Rossetti collaborates with health analytics centers and trains future researchers through NIH- and AHRQ-funded projects, blending machine learning with clinical expertise in critical care settings.
