Corrigendum to: An Application to Support COVID-19 Occupational Health and Patient Tracking at a Veterans Affairs Medical Center
| Autor: | Nicholas Link, Nathanael Fillmore, David J. Thornton, Svitlana Dipietro, Nhan Do, Jane A. Driver, Danne C. Elbers, Anahit Aleksanyan, Robert Zwolinski, Vinh T. Nguyen, Stewart Evans, Michael A Parenteau, Feng-Chi Sung, Judith Strymish, Mary Brophy, Theodore C. Feldman, Benjamin Colonna, Stephen J. Miller, Robert S Sprague, Robert B. Hall, Paul Corcoran, Jennifer La, Sergey Goryachev, Steven J Bergstrom |
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| Rok vydání: | 2020 |
| Předmět: |
2019-20 coronavirus outbreak
Coronavirus disease 2019 (COVID-19) AcademicSubjects/SCI01060 business.industry workflow Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Patient Tracking Health Informatics medicine.disease Occupational safety and health systems integration coronavirus infections occupational health Medicine Center (algebra and category theory) Medical emergency AcademicSubjects/SCI01530 business Brief Communications Veterans Affairs AcademicSubjects/MED00580 |
| Zdroj: | Journal of the American Medical Informatics Association : JAMIA Journal of the American Medical Informatics Association |
| ISSN: | 1527-974X |
| Popis: | Objective Reducing risk of coronavirus disease 2019 (COVID-19) infection among healthcare personnel requires a robust occupational health response involving multiple disciplines. We describe a flexible informatics solution to enable such coordination, and we make it available as open-source software. Materials and Methods We developed a stand-alone application that integrates data from several sources, including electronic health record data and data captured outside the electronic health record. Results The application facilitates workflows from different hospital departments, including Occupational Health and Infection Control, and has been used extensively. As of June 2020, 4629 employees and 7768 patients and have been added for tracking by the application, and the application has been accessed over 46 000 times. Discussion Data captured by the application provides both a historical and real-time view into the operational impact of COVID-19 within the hospital, enabling aggregate and patient-level reporting to support identification of new cases, contact tracing, outbreak investigations, and employee workforce management. Conclusions We have developed an open-source application that facilitates communication and workflow across multiple disciplines to manage hospital employees impacted by the COVID-19 pandemic. |
| Databáze: | OpenAIRE |
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