Implementing partnership-driven clinical federated electronic health record data sharing networks |
| |
Institution: | 1. The Mærsk Mc-Kinney Møller Institute, Section Software Engineering, University of Southern Denmark, Odense, Denmark;2. Department of Informatics, Technische Universität Clausthal, Clausthal-Zellerfeld, Germany;3. Faculty of Informatics, Technische Universität München, Garching, Germany;1. From Division of Endocrinology and Diabetes, John H. Stroger, Jr. Hospital of Cook County, and Rush University Medical Center, Chicago, Illinois;2. Division of Endocrinology and Metabolism, Department of Medicine, Indiana University School of Medicine, Chicago, Illinois;3. Department of Internal Medicine, John H. Stroger, Jr. Hospital of Cook County, Chicago, Illinois;4. Department of Biostatistics, Rush University Medical Center, Chicago, Illinois.;1. Division of Epidemiology, College of Public Health, The Ohio State University, 324 Cunz Hall, 1841 Neil Ave., Columbus, OH;2. Division of Infectious Diseases, College of Medicine, The Ohio State University, N1144 Doan Hall, 410 W. 10th Ave., Columbus, OH |
| |
Abstract: | ObjectiveBuilding federated data sharing architectures requires supporting a range of data owners, effective and validated semantic alignment between data resources, and consistent focus on end-users. Establishing these resources requires development methodologies that support internal validation of data extraction and translation processes, sustaining meaningful partnerships, and delivering clear and measurable system utility. We describe findings from two federated data sharing case examples that detail critical factors, shared outcomes, and production environment results.MethodsTwo federated data sharing pilot architectures developed to support network-based research associated with the University of Washington’s Institute of Translational Health Sciences provided the basis for the findings. A spiral model for implementation and evaluation was used to structure iterations of development and support knowledge share between the two network development teams, which cross collaborated to support and manage common stages.ResultsWe found that using a spiral model of software development and multiple cycles of iteration was effective in achieving early network design goals. Both networks required time and resource intensive efforts to establish a trusted environment to create the data sharing architectures. Both networks were challenged by the need for adaptive use cases to define and test utility.ConclusionAn iterative cyclical model of development provided a process for developing trust with data partners and refining the design, and supported measureable success in the development of new federated data sharing architectures. |
| |
Keywords: | Information systems Data sharing Federated networks Implementation Electronic health records |
本文献已被 ScienceDirect 等数据库收录! |
|