Transmission dynamics: Data sharing in the COVID‐19 era
Abstract Problem The current coronavirus disease 2019 (COVID‐19) pandemic underscores the need for building and sustaining public health data infrastructure to support a rapid local, regional, national, and international response. Despite a historical context of public health crises, data sharing ag...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Learning Health Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/lrh2.10235 |
| _version_ | 1818962482073436160 |
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| author | Randi E. Foraker Albert M. Lai Thomas G. Kannampallil Keith F. Woeltje Anne M. Trolard Philip R. O. Payne |
| author_facet | Randi E. Foraker Albert M. Lai Thomas G. Kannampallil Keith F. Woeltje Anne M. Trolard Philip R. O. Payne |
| author_sort | Randi E. Foraker |
| collection | DOAJ |
| description | Abstract Problem The current coronavirus disease 2019 (COVID‐19) pandemic underscores the need for building and sustaining public health data infrastructure to support a rapid local, regional, national, and international response. Despite a historical context of public health crises, data sharing agreements and transactional standards do not uniformly exist between institutions which hamper a foundational infrastructure to meet data sharing and integration needs for the advancement of public health. Approach There is a growing need to apply population health knowledge with technological solutions to data transfer, integration, and reasoning, to improve health in a broader learning health system ecosystem. To achieve this, data must be combined from healthcare provider organizations, public health departments, and other settings. Public health entities are in a unique position to consume these data, however, most do not yet have the infrastructure required to integrate data sources and apply computable knowledge to combat this pandemic. Outcomes Herein, we describe lessons learned and a framework to address these needs, which focus on: (a) identifying and filling technology “gaps”; (b) pursuing collaborative design of data sharing requirements and transmission mechanisms; (c) facilitating cross‐domain discussions involving legal and research compliance; and (d) establishing or participating in multi‐institutional convening or coordinating activities. Next steps While by no means a comprehensive evaluation of such issues, we envision that many of our experiences are universal. We hope those elucidated can serve as the catalyst for a robust community‐wide dialogue on what steps can and should be taken to ensure that our regional and national health care systems can truly learn, in a rapid manner, so as to respond to this and future emergent public health crises. |
| first_indexed | 2024-12-20T12:30:01Z |
| format | Article |
| id | doaj.art-188264fa9ef54f5bae1365ca7b973512 |
| institution | Directory Open Access Journal |
| issn | 2379-6146 |
| language | English |
| last_indexed | 2024-12-20T12:30:01Z |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Learning Health Systems |
| spelling | doaj.art-188264fa9ef54f5bae1365ca7b9735122022-12-21T19:40:44ZengWileyLearning Health Systems2379-61462021-01-0151n/an/a10.1002/lrh2.10235Transmission dynamics: Data sharing in the COVID‐19 eraRandi E. Foraker0Albert M. Lai1Thomas G. Kannampallil2Keith F. Woeltje3Anne M. Trolard4Philip R. O. Payne5Institute for Informatics Washington University School of Medicine St. Louis Missouri USAInstitute for Informatics Washington University School of Medicine St. Louis Missouri USAInstitute for Informatics Washington University School of Medicine St. Louis Missouri USADepartment of Medicine Washington University School of Medicine St. Louis Missouri USADepartment of Medicine Washington University School of Medicine St. Louis Missouri USAInstitute for Informatics Washington University School of Medicine St. Louis Missouri USAAbstract Problem The current coronavirus disease 2019 (COVID‐19) pandemic underscores the need for building and sustaining public health data infrastructure to support a rapid local, regional, national, and international response. Despite a historical context of public health crises, data sharing agreements and transactional standards do not uniformly exist between institutions which hamper a foundational infrastructure to meet data sharing and integration needs for the advancement of public health. Approach There is a growing need to apply population health knowledge with technological solutions to data transfer, integration, and reasoning, to improve health in a broader learning health system ecosystem. To achieve this, data must be combined from healthcare provider organizations, public health departments, and other settings. Public health entities are in a unique position to consume these data, however, most do not yet have the infrastructure required to integrate data sources and apply computable knowledge to combat this pandemic. Outcomes Herein, we describe lessons learned and a framework to address these needs, which focus on: (a) identifying and filling technology “gaps”; (b) pursuing collaborative design of data sharing requirements and transmission mechanisms; (c) facilitating cross‐domain discussions involving legal and research compliance; and (d) establishing or participating in multi‐institutional convening or coordinating activities. Next steps While by no means a comprehensive evaluation of such issues, we envision that many of our experiences are universal. We hope those elucidated can serve as the catalyst for a robust community‐wide dialogue on what steps can and should be taken to ensure that our regional and national health care systems can truly learn, in a rapid manner, so as to respond to this and future emergent public health crises.https://doi.org/10.1002/lrh2.10235collaborationdata sharinghealthcare deliverypopulation health |
| spellingShingle | Randi E. Foraker Albert M. Lai Thomas G. Kannampallil Keith F. Woeltje Anne M. Trolard Philip R. O. Payne Transmission dynamics: Data sharing in the COVID‐19 era Learning Health Systems collaboration data sharing healthcare delivery population health |
| title | Transmission dynamics: Data sharing in the COVID‐19 era |
| title_full | Transmission dynamics: Data sharing in the COVID‐19 era |
| title_fullStr | Transmission dynamics: Data sharing in the COVID‐19 era |
| title_full_unstemmed | Transmission dynamics: Data sharing in the COVID‐19 era |
| title_short | Transmission dynamics: Data sharing in the COVID‐19 era |
| title_sort | transmission dynamics data sharing in the covid 19 era |
| topic | collaboration data sharing healthcare delivery population health |
| url | https://doi.org/10.1002/lrh2.10235 |
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