A federated EHR network data completeness tracking system
| Autor: | Jeffrey G. Klann, Elmer V. Bernstam, Marc D. Natter, Nandan Patibandla, Shawn N. Murphy, Kun Wei, Ernest Alema-Mensah, Brian Ostasiewski, Hossein Estiri, Gary E. Rosenthal, Kenneth D. Mandl, Sarah R. Weiler, Elizabeth Ofili, R Joseph Applegate, Galina Lozinski, William G. Adams, Alexander Quarshie |
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| Rok vydání: | 2019 |
| Předmět: |
Sociotechnical system
Exploit Computer science Data management Health Informatics Research and Applications Computer Communication Networks 03 medical and health sciences 0302 clinical medicine Humans data quality Systems thinking 030212 general & internal medicine data completeness Data Management business.industry 030503 health policy & services systems thinking Tracking system Data science Data Accuracy electronic health records Workflow Data quality 0305 other medical science business Completeness (statistics) |
| Zdroj: | Journal of the American Medical Informatics Association : JAMIA |
| ISSN: | 1527-974X |
| Popis: | Objective The study sought to design, pilot, and evaluate a federated data completeness tracking system (CTX) for assessing completeness in research data extracted from electronic health record data across the Accessible Research Commons for Health (ARCH) Clinical Data Research Network. Materials and Methods The CTX applies a systems-based approach to design workflow and technology for assessing completeness across distributed electronic health record data repositories participating in a queryable, federated network. The CTX invokes 2 positive feedback loops that utilize open source tools (DQe-c and Vue) to integrate technology and human actors in a system geared for increasing capacity and taking action. A pilot implementation of the system involved 6 ARCH partner sites between January 2017 and May 2018. Results The ARCH CTX has enabled the network to monitor and, if needed, adjust its data management processes to maintain complete datasets for secondary use. The system allows the network and its partner sites to profile data completeness both at the network and partner site levels. Interactive visualizations presenting the current state of completeness in the context of the entire network as well as changes in completeness across time were valued among the CTX user base. Discussion Distributed clinical data networks are complex systems. Top-down approaches that solely rely on technology to report data completeness may be necessary but not sufficient for improving completeness (and quality) of data in large-scale clinical data networks. Improving and maintaining complete (high-quality) data in such complex environments entails sociotechnical systems that exploit technology and empower human actors to engage in the process of high-quality data curating. Conclusions The CTX has increased the network’s capacity to rapidly identify data completeness issues and empowered ARCH partner sites to get involved in improving the completeness of respective data in their repositories. |
| Databáze: | OpenAIRE |
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