The ENACT Network: Grand Rounds 2026
This presentation discusses how healthcare system processes, like clinic schedules and billing practices, lead to apparent “data quality” issues when using EHRs for research. Several approaches, including machine learning-based “computed phenotypes,” are described. These algorithms, integrated into the i2b2 software platform, are used at several ENACT network sites.
Online
Griffin M Weber, an Associate Professor of Medicine and Biomedical Informatics at Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS), leads the Biomedical Research Informatics Core at BIDMC and the Informatics Faculty Lead for Harvard’s Clinical and Translational Science Award Program. He was the former Chief Technology Officer of HMS. His research focuses on developing computational methods and software for analyzing biomedical data, particularly in EHR data, medical claims data, federated clinical data networks, and scientific literature. He helped develop the open-source i2b2 platform for clinical data query and analysis and the SHRINE software for connecting i2b2 systems across institutions in the ENACT network. Dr. Weber received his M.D. and Ph.D. in computer science from Harvard University in 2007 and was elected a Fellow of the American College of Medical Informatics (FACMI) in 2020 for his contributions to medical informatics.