Integrating Special Populations Seminar Series
Sponsored by the Irving Institute's
Integrating Special Populations Resource
Speaker: Matthew R. Baldwin, MD, MS, Associate Professor of Medicine at CUIMC; Jason E. Zucker, MD, Assistant Professor of Medicine at CUIMC; Benjamin L. Ranard, MD, MSHP, Assistant Professor of Medicine at CUIMC; Deputy Director, Center for Patient Safety Science
The EHR contains a wealth of data from ICD-10 codes that can identify rare and common disease patients, to vital signs recorded every minute on telemetry patients, to genomics data from lab tests. But, extracting and using EHR data for large cohort studies and clinical trials can be challenging. We will share tips, tricks, and lessons learned from three EHR-based studies at CUIMC that will help clinical investigators conduct their own EHR studies with greater operational efficiency. We will discuss how: (1) to identify eligible study patients suing self-service EHR data extraction tools; (2) to optimize the process of EHR data extraction, from IRB and TRAC approval to drafting data requests for clinical data navigators; (3) to conduct EHR-embedded clinical trials of decision support and other interventions; and, (4) we will present future directions of EHR research utilizing data across the NYP enterprise.
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