Description
This project developed an enhanced mixed-methods evaluation of the integration of health information exchange (HIE) data directly into the EHR. Our method provides causal evidence and qualitative context, and thus improves on methods used in previous studies that suggest positive effects of HIE on healthcare processes, quality and outcomes. Our proposed evaluation provides a real-world roadmap to establishing the causal effects of HIE/EHR integration on meaningful HIE use.
Learning Objective: After participating in the session, the learner should be able to better understand challenges to evaluating health information interoperability and potentially solving them using a combination of methods, including a pragmatic trial design.
Authors:
Rebecca Rivera (Presenter)
Indiana University Fairbanks School of Public Health
Saurabh Rahurkar, The Ohio State University, Wexner Medical Center
Brian Dixon, Indiana University Fairbanks School of Public Health
Joshua Vest, Indiana University Fairbanks School of Public Health
Nir Menachemi, Indiana University Fairbanks School of Public Health
Ying Zhang, Indiana University School of Medicine
Julia Adler-Milstein, University of California, San Francisco
Titus Schleyer, Indiana University School of Medicine
Presentation Materials: