Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Building Capacity of Community Health Centers to Overcome Data Challenges with the Development of an Agile COVID-19 Public Health Registry: A Multi-State Quality Improvement Effort

Building Capacity of Community Health Centers to Overcome Data Challenges with the Development of... Abstract Objective During the COVID-19 pandemic, federally qualified health centers rapidly mobilized to provide SARS-CoV-2 testing, COVID-19 care, and vaccination to populations at increased risk for COVID-19 morbidity and mortality. We describe the development of a reusable public health data analytics system for reuse of clinical data to evaluate the health burden, disparities, and impact of COVID-19 on populations served by health centers. Materials and Methods The Multi-State Data Strategy engaged project partners to assess public health readiness and COVID-19 data challenges. An infrastructure for data capture and sharing procedures between health centers and public health agencies was developed to support existing capabilities and data capacities to respond to the pandemic. Results Between August 2020 - March 2021, project partners evaluated their data capture and sharing capabilities and reported challenges and preliminary data. Major interoperability challenges included poorly aligned federal, state, and local reporting requirements, lack of unique patient identifiers, lack of access to pharmacy, claims and laboratory data, missing data, and proprietary data standards and extraction methods. Discussion Efforts to access and align project partners’ existing health systems data infrastructure in the context of the pandemic highlighted complex interoperability challenges. These challenges remain significant barriers to real-time data analytics and efforts to improve health outcomes and mitigate inequities through data-driven responses. Conclusion The reusable public health data analytics system created in the Multi-State Data Strategy can be adapted and scaled for other health center networks to facilitate data aggregation and dashboards for public health, organizational planning and quality improvement and can inform local, state, and national COVID-19 response efforts. SARS-CoV-2, COVID-19, health centers, EMR data, public health informatics infrastructure This content is only available as a PDF. Published by Oxford University Press on behalf of the American Medical Informatics Association 2021. This work is written by US Government employees and is in the public domain in the US. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model) http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of the American Medical Informatics Association Oxford University Press

Building Capacity of Community Health Centers to Overcome Data Challenges with the Development of an Agile COVID-19 Public Health Registry: A Multi-State Quality Improvement Effort

Loading next page...
 
/lp/oxford-university-press/building-capacity-of-community-health-centers-to-overcome-data-o0MFmq5RHw
Publisher
Oxford University Press
Copyright
Copyright © 2021 American Medical Informatics Association
ISSN
1067-5027
eISSN
1527-974X
DOI
10.1093/jamia/ocab233
Publisher site
See Article on Publisher Site

Abstract

Abstract Objective During the COVID-19 pandemic, federally qualified health centers rapidly mobilized to provide SARS-CoV-2 testing, COVID-19 care, and vaccination to populations at increased risk for COVID-19 morbidity and mortality. We describe the development of a reusable public health data analytics system for reuse of clinical data to evaluate the health burden, disparities, and impact of COVID-19 on populations served by health centers. Materials and Methods The Multi-State Data Strategy engaged project partners to assess public health readiness and COVID-19 data challenges. An infrastructure for data capture and sharing procedures between health centers and public health agencies was developed to support existing capabilities and data capacities to respond to the pandemic. Results Between August 2020 - March 2021, project partners evaluated their data capture and sharing capabilities and reported challenges and preliminary data. Major interoperability challenges included poorly aligned federal, state, and local reporting requirements, lack of unique patient identifiers, lack of access to pharmacy, claims and laboratory data, missing data, and proprietary data standards and extraction methods. Discussion Efforts to access and align project partners’ existing health systems data infrastructure in the context of the pandemic highlighted complex interoperability challenges. These challenges remain significant barriers to real-time data analytics and efforts to improve health outcomes and mitigate inequities through data-driven responses. Conclusion The reusable public health data analytics system created in the Multi-State Data Strategy can be adapted and scaled for other health center networks to facilitate data aggregation and dashboards for public health, organizational planning and quality improvement and can inform local, state, and national COVID-19 response efforts. SARS-CoV-2, COVID-19, health centers, EMR data, public health informatics infrastructure This content is only available as a PDF. Published by Oxford University Press on behalf of the American Medical Informatics Association 2021. This work is written by US Government employees and is in the public domain in the US. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

Journal

Journal of the American Medical Informatics AssociationOxford University Press

Published: Oct 14, 2021

There are no references for this article.