In this talk, Dr. Kannampallil will discuss the use of raw audit logs—trails of clinicians’ click stream activities on an EHR—to measure physician workload, cognitive burden and burnout using a combination of statistical and machine learning approaches. In a series of studies, his team developed data pipelines and open-source tools for translating raw clickstream data into meaningful EHR use metrics that were used for (a) assessing workload, (b) creating objective measures of errors, and (c) assessing the relationship between workload (and cognitive burden) on errors. He will also describe new directions for research using audit logs including novel mathematical and machine learning techniques to characterize tasks, measuring interactive communication (using Epic SecureChat), and comparing audit log-based workload measures and reimbursements.
Thomas Kannampallil, PhD
Associate Professor of Anesthesiology
Washington University School of Medicine
This seminar is part of the Institute for Public Health and Medicine (IPHAM) seminar series.