What's Happening
News/Press Releases
03/24/2025
To better support researchers and institutions using the ENACT Network, we introduced our Monthly Informatics Office Hours series. These sessions, held on the second Monday of each month from 3 – 4 pm ET, provide an opportunity to discuss technical challenges, share best practices, and engage directly with our informatics experts. We look forward to continuing these conversations and helping our community make the most of ENACT’s resources.
03/01/2025
ENACT was excited to participate in the 2025 American Medical Informatics Association (AMIA) Conference, where we showcased our latest innovations in data harmonization and real-world evidence generation. Our team presented on key topics, including scalable approaches to integrating EHR data across institutions and strategies for ensuring reproducibility in multi-site research. If you attended AMIA, we hope you connected with us—we enjoyed discussing how ENACT could support your research!
11/13/2024
The ENACT Network made a strong impact at the 2024 Clinical and Translational Science Award (CTSA) Program Meeting, where Dr. Steve Reis presented insights on leveraging multi-institutional electronic health record (EHR) data to advance clinical research. Our presentation highlighted real-world use cases demonstrating how ENACT’s federated data network accelerated discovery while maintaining patient privacy. Attendees engaged in discussions about optimizing data-sharing strategies and fostering cross-institutional collaboration. Thank you to everyone who joined us—we looked forward to continuing the conversation!
Publications
12/16/2025
Mora N, Mehall M, Morlino R, Hopton T, Morrato E, Pincus H.
Lessons learned from sustaining and transitioning a national EHR data network: The ENACT experience applying D&I science frameworks. AcademyHealth 18th Annual Dissemination and Implementation Conference; December 16, 2025; National Harbor, MD. Poster presentation.
10/23/2025
Mora N, Mehall M, Morrato E.
Sustaining electronic health record research networks in academic medical research centers: Insights from implementation science. 2025 Fall CTSA Program Annual Meeting; October 23, 2025. Poster presentation.
08/25/2025
Wang Y, Hilsman J, Li C, Morris M, Heider PM, Fu S, Kwak MJ, Wen A, Applegate JR, Wang L.
Development and Validation of Natural Language Processing Algorithms in the National ENACT Network. Journal of Clinical and Translational Science. 2025:29-Jan.
Grand Rounds
05/18/2026
In this talk, Dr. Bell will present the Clinical Concierge Evidence Service which uses real-world data to provide clinicians with information to aid their clinical decision-making process with patients. He will discuss the need for this kind of service as well as the challenges to providing this kind of data to clinicians. Focusing on how ENACT has enabled the creation of this service, Dr. Bell will review how this service was developed, current challenges, and next steps including embedding AI with human in the loop oversite to improve timeliness of this service.
04/20/2026
This talk will examine the research value of aggregated counts derived from the ENACT network. For instance, counts obtained via SHRINE can be beneficial for epidemiological research, pharmacovigilance, and the generation of clinical evidence. The presentation will discuss the strengths and limitations of count-based analyses and explore how to automate the execution of a large number of queries in SHRINE.
03/16/2026
Thomas Kannampallil, PhD, FACMI, FAMIA Chief Data Scientist & Assistant Dean for Data Science, WashU Medicine Associate Professor of Anesthesiology Washington University School of Medicine (WashU Medicine) Abstract: In this talk, I will describe the challenges of design, development, and implementation of AI-based clinical decision support. Specifically, I will discuss a range of implementation projects (and associated pragmatic clinical trials) and the fundamental challenges that researchers face. The focus of this talk will be primarily on various strategies for EHR-based implementation of AI tools, including the development of data pipelines, data issues, performance drift, and considerations for conducting pragmatic trials.