{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T16:39:42Z","timestamp":1769272782481,"version":"3.49.0"},"reference-count":14,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2023,12,15]],"date-time":"2023-12-15T00:00:00Z","timestamp":1702598400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["UL1TR002537"],"award-info":[{"award-number":["UL1TR002537"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"name":"UI Center for Advancing Multimorbidity Science"},{"DOI":"10.13039\/100000056","name":"National Institute of Nursing Research","doi-asserted-by":"publisher","award":["P20NR018081"],"award-info":[{"award-number":["P20NR018081"]}],"id":[{"id":"10.13039\/100000056","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100008893","name":"University of Iowa","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008893","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,2,16]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Importance<\/jats:title>\n                  <jats:p>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.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Objectives<\/jats:title>\n                  <jats:p>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.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>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.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>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, including 18 faculty and 18 staff. IHDR data enclave eliminated the need to duplicate computational infrastructure inside the hospital firewall which reduced infrastructure, hardware and human resource costs while leveraging the existing expertise embedded in the university research computing team. The creation of a process to develop and implement transformative datasets has resulted in the creation of seven domain specific datasets to date.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>The combination of people, process, and technology facilitates collaboration and interdisciplinary research in a secure environment using curated data sets. While other organizations have implemented individual components to address EDW4R operational demands, the IHDR combines multiple resources into a novel, comprehensive ecosystem IHDR enables scientists to use analysis tools with electronic patient data to accelerate time to science.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jamia\/ocad236","type":"journal-article","created":{"date-parts":[[2023,12,16]],"date-time":"2023-12-16T05:51:24Z","timestamp":1702705884000},"page":"720-726","source":"Crossref","is-referenced-by-count":10,"title":["The Iowa Health Data Resource (IHDR): an innovative framework for transforming the clinical health data ecosystem"],"prefix":"10.1093","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9522-8080","authenticated-orcid":false,"given":"Heath A","family":"Davis","sequence":"first","affiliation":[{"name":"Biomedical Informatics, Institute for Clinical & Translational Science, University of Iowa , Iowa City, IA 52242, United States"},{"name":"Office of Information Technology, Roy J. and Lucille A. Carver College of Medicine, University of Iowa , Iowa City, IA 52242, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Donna A","family":"Santillan","sequence":"additional","affiliation":[{"name":"Biomedical Informatics, Institute for Clinical & Translational Science, University of Iowa , Iowa City, IA 52242, United States"},{"name":"Obstetrics and Gynecology, University of Iowa , Iowa City, IA 52242, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chris E","family":"Ortman","sequence":"additional","affiliation":[{"name":"Biomedical Informatics, Institute for Clinical & Translational Science, University of Iowa , Iowa City, IA 52242, United States"},{"name":"Office of Information Technology, Roy J. and Lucille A. Carver College of Medicine, University of Iowa , Iowa City, IA 52242, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Asher A","family":"Hoberg","sequence":"additional","affiliation":[{"name":"Biomedical Informatics, Institute for Clinical & Translational Science, University of Iowa , Iowa City, IA 52242, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joseph P","family":"Hetrick","sequence":"additional","affiliation":[{"name":"Research Services, Information Technology Services, University of Iowa , Iowa City, IA 52245, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Charles W","family":"McBrearty","sequence":"additional","affiliation":[{"name":"Department of Preventive and Community Dentistry, College of Dentistry, College of Dentistry, University of Iowa , Iowa City, IA 52242, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erliang","family":"Zeng","sequence":"additional","affiliation":[{"name":"Department of Preventive and Community Dentistry, College of Dentistry, College of Dentistry, University of Iowa , Iowa City, IA 52242, United States"},{"name":"Division of Biostatistics and Computational Biology, College of Dentistry, University of Iowa , Iowa City, IA 52242, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mary S","family":"Vaughan Sarrazin","sequence":"additional","affiliation":[{"name":"Internal Medicine, Roy J. and Lucille A. 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