Research
Our projects focus on measuring clinical work using EHR-derived data, evaluating health IT policies, and improving how externally sourced patient data is integrated into clinical workflows.
The Last Mile of Interoperability: Integrating Outside Data into Clinical Workflows to Improve Care
Despite advances in health data exchange, outside records often arrive in EHRs without being meaningfully integrated into clinical workflows. This project examines how clinicians encounter and use externally sourced patient data, and tests interventions to improve integration and downstream care quality.
Organizing Chaos: Measuring Daily Schedule Volatility for Ambulatory Physicians
Ambulatory physician schedules are frequently disrupted by add-ons, cancellations, and no-shows. This project develops EHR-based measures of daily schedule volatility and examines its effects on care quality, efficiency, and clinician experience.
Feasibility of EHR Audit Log-Derived Estimation of Standardized Time Inputs
This project evaluates whether EHR audit log data can serve as a feasible, scalable source for estimating the time inputs that underpin physician work valuations, assessing the validity and reliability of audit log-derived measures against existing standards.
Feasibility of Audit Log Data for Estimating Face-to-Face Time
In collaboration with the AI-4-AI Lab at the University of Pennsylvania, this project tests the feasibility of using EHR audit log data as a proxy for direct patient contact time — a metric central to billing, quality measurement, and care delivery research.