Understanding enterprise data warehouses to support clinical and translational research: impact, sustainability, demand management, and accessibility

Author:

Campion Thomas R1ORCID,Craven Catherine K2ORCID,Dorr David A34ORCID,Bernstam Elmer V56ORCID,Knosp Boyd M7

Affiliation:

1. Clinical & Translational Science Center, Weill Cornell Medicine , New York, NY 10022, United States

2. Division of Clinical Research Informatics, Department of Population Health Sciences, The University of Texas Health San Antonio , San Antonio, TX 78229, United States

3. Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University , Portland, OR 97239, United States

4. Department of Medicine, Oregon Health & Science University , Portland, OR 97239, United States

5. D. Bradley McWilliams School of Biomedical Informatics, The University of Texas Health Science Center , Houston, TX 77030, United States

6. Division of General Internal Medicine, McGovern Medical School and Center for Clinical and Translational Sciences, The University of Texas Health Science Center , Houston, TX 77030, United States

7. Roy J. and Lucille A. Carver College of Medicine and the Institute for Clinical & Translational Science, University of Iowa , Iowa City, IA 52242, United States

Abstract

Abstract Objectives Healthcare organizations, including Clinical and Translational Science Awards (CTSA) hubs funded by the National Institutes of Health, seek to enable secondary use of electronic health record (EHR) data through an enterprise data warehouse for research (EDW4R), but optimal approaches are unknown. In this qualitative study, our goal was to understand EDW4R impact, sustainability, demand management, and accessibility. Materials and Methods We engaged a convenience sample of informatics leaders from CTSA hubs (n = 21) for semi-structured interviews and completed a directed content analysis of interview transcripts. Results EDW4R have created institutional capacity for single- and multi-center studies, democratized access to EHR data for investigators from multiple disciplines, and enabled the learning health system. Bibliometrics have been challenging due to investigator non-compliance, but one hub’s requirement to link all study protocols with funding records enabled quantifying an EDW4R’s multi-million dollar impact. Sustainability of EDW4R has relied on multiple funding sources with a general shift away from the CTSA grant toward institutional and industry support. To address EDW4R demand, institutions have expanded staff, used different governance approaches, and provided investigator self-service tools. EDW4R accessibility can benefit from improved tools incorporating user-centered design, increased data literacy among scientists, expansion of informaticians in the workforce, and growth of team science. Discussion As investigator demand for EDW4R has increased, approaches to tracking impact, ensuring sustainability, and improving accessibility of EDW4R resources have varied. Conclusion This study adds to understanding of how informatics leaders seek to support investigators using EDW4R across the CTSA consortium and potentially elsewhere.

Funder

National Institutes of Health

National Center for Advancing Translational Sciences

Publisher

Oxford University Press (OUP)

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