Gary Weissman

Gary Weissman, MD, MSHP, serves as an Assistant Professor of Medicine with a research program centered at the intersection of clinical medicine and advanced informatics. His work bridges critical care practice with data science to develop innovative solutions for patient care improvement, focusing on clinical research informatics, natural language processing, acute care clinical decision support, population health management, and health informatics policy.

Dr. Weissman's research program addresses fundamental challenges in acute care delivery through sophisticated analysis of electronic health record data. He has pioneered methods for identifying patients with acute respiratory distress syndrome (ARDS) and sepsis using natural language processing of clinical notes, developed standardized data frameworks like the Common Longitudinal Intensive Care Unit (CLIF) format, and investigated health equity implications of clinical algorithms. His work on goal-concordant care measurement and ventilator management optimization demonstrates commitment to both technical innovation and ethical healthcare delivery. Current investigations examine social determinants of health impacts on respiratory outcomes and biases in pulmonary function test interpretation.

Analysis of his 2022-2025 publications reveals a cohesive research trajectory focused on critical care informatics with three dominant themes: 1) Development and validation of machine learning models for retrospective identification of critical conditions (ARDS, sepsis); 2) Standardization of ICU data formats and ventilator management protocols; 3) Rigorous evaluation of health equity dimensions in clinical algorithms and diagnostic criteria. His multi-center studies consistently address real-world implementation challenges while advancing methodological approaches for EHR-based research.

While specific details regarding teaching appointments, grant funding, and advising responsibilities are not documented in available sources, Dr. Weissman's prolific publication record (over 50 papers since 2022) indicates an active research program with significant implications for critical care practice, health policy, and medical informatics infrastructure development. His work exemplifies the integration of computational methods with clinical expertise to solve pressing healthcare challenges.