Hello!

I am a third-year PhD candidate in the Health Infrastructures & Learning Systems program in the Department of Learning Health Sciences at the University of Michigan Medical School. My background is in clinical informatics, with a focus on clinical decision support (CDS) tools. Prior to starting my PhD, I worked at Brigham and Women’s Hospital, where my research evaluated the ability of CDS tools to detect and prevent serious medication errors. This work included close collaboration with the Leapfrog Group on their Computerized Physician Order Entry (CPOE) Evaluation Tool, which is used by over 3,000 hospitals annually to assess the safety and performance of CDS systems.
Building on this experience, my doctoral research applies a learning health systems approach to improving the implementation and refinement of CDS tools. I focus on leveraging real-world CDS use data, like alert acceptance, overrides, and dismissals, to inform targeted strategies for reducing alert fatigue while preserving patient safety. My work integrates concepts from decision science, human factors, and implementation science to examine how clinician decision-making, cognitive workload, and organizational context shape engagement with CDS alerts. Ultimately, my goal is to translate these insights into actionable strategies for refining CDS alerts and workflows within routine clinical practice.