The Iowa Health Data Resource (IHDR): an innovative framework for transforming the clinical health data ecosystem
作者:Heather Davis, Donna A. Santillan, Chris Ortman, Asher A Hoberg, Joseph P Hetrick, C. McBrearty, Erliang Zeng, Mary Vaughan‐Sarrazin, Karen Dunn Lopez, Cole G. Chapman, Ryan M. Carnahan, Jacob J. Michaelson, Boyd M. Knosp · 发表于:Journal of the American Medical Informatics Association · 年份:2023 · DOI:10.1093/jamia/ocad236 · 被引用次数:10 · 研究领域:Research Data Management Practices、Interdisciplinary Research and Collaboration、Electronic Health Records Systems
IMPORTANCE: This manuscript will be of interest to most Clinical and Translational Science Awards (CTSA) as they retool for the increasing emphasis on translational science from translational research. This effort is an extension of the EDW4R work that most CTSAs have done to deploy infrastructure and tools for researchers to access clinical data. OBJECTIVES: The Iowa Health Data Resource (IHDR) is a strategic investment made by the University of Iowa to improve access to real-world health data. The goals of IHDR are to improve the speed of translational health research, to boost interdisciplinary collaboration, and to improve literacy about health data. The first objective toward this larger goal was to address gaps in data access, data literacy, lack of computational environments for processing Personal Health Information (PHI) and the lack of processes and expertise for creating transformative datasets. METHODS: A three-pronged approach was taken to address the objective. The approach involves integration of an intercollegiate team of non-informatics faculty and staff, a data enclave for secure patient data analyses, and novel comprehensive datasets. RESULTS: To date, all five of the health science colleges (dentistry, medicine, nursing, pharmacy, and public health) have had at least one staff and one faculty member complete the two-month experiential learning curriculum. Over the first two years of this project, nine cohorts totaling 36 data liaisons have been trained, in...