{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T04:23:43Z","timestamp":1772684623408,"version":"3.50.1"},"reference-count":31,"publisher":"Oxford University Press (OUP)","issue":"8","license":[{"start":{"date-parts":[[2021,4,25]],"date-time":"2021-04-25T00:00:00Z","timestamp":1619308800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100006108","name":"National Center for Advancing Translational Sciences","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006108","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["UL1 TR001450"],"award-info":[{"award-number":["UL1 TR001450"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000886","name":"The Duke Endowment","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000886","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000886","name":"The Duke Endowment","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000886","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,30]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Public health faces unprecedented challenges in its efforts to control COVID-19 through a national vaccination campaign. Addressing these challenges will require fundamental changes to public health data systems. For example, of the core data systems for immunization campaigns is the immunization information system (IIS); however, IISs were designed for tracking the vaccinated, not finding the patients who are high risk and need to be vaccinated. Health systems have this data in their electronic health records (EHR) systems and often have a greater capacity for outreach. Clearly, a partnership is needed. However, successful collaborations will require public health to change from its historical hierarchical information supply chain model to an ecosystem model with a peer-to-peer exchange with population health providers. Examples of the types of informatics innovations necessary to support such an ecosystem include a national patient identifier, population-level data exchange for immunization data, and computable electronic quality measures. Rather than think of these components individually, a comprehensive approach to rapidly adaptable tools for collaboration is needed.<\/jats:p>","DOI":"10.1093\/jamia\/ocab066","type":"journal-article","created":{"date-parts":[[2021,3,29]],"date-time":"2021-03-29T19:11:25Z","timestamp":1617045085000},"page":"1807-1811","source":"Crossref","is-referenced-by-count":13,"title":["Informatics for public health and health system collaboration: Applications for the control of the current COVID-19 pandemic and the next one"],"prefix":"10.1093","volume":"28","author":[{"given":"Leslie A","family":"Lenert","sequence":"first","affiliation":[{"name":"Biomedical Informatics Center (BMIC), Medical University of South Carolina, Charleston, South Carolina, USA"},{"name":"Health Sciences South Carolina, Columbia, South Carolina, USA"}]},{"given":"Wei","family":"Ding","sequence":"additional","affiliation":[{"name":"Biomedical Informatics Center (BMIC), Medical University of South Carolina, Charleston, South Carolina, USA"}]},{"given":"Jeff","family":"Jacobs","sequence":"additional","affiliation":[{"name":"Health Sciences South Carolina, Columbia, South Carolina, USA"}]}],"member":"286","published-online":{"date-parts":[[2021,6,8]]},"reference":[{"issue":"3","key":"2021073020263880900_ocab066-B1","doi-asserted-by":"crossref","first-page":"380","DOI":"10.2105\/AJPH.93.3.380","article-title":"What is population health?","volume":"93","author":"Kindig","year":"2003","journal-title":"Am J Public Health"},{"key":"2021073020263880900_ocab066-B2","year":"2019"},{"issue":"1","key":"2021073020263880900_ocab066-B3","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1055\/s-0039-3402755","article-title":"Igniting harmonized digital clinical quality measurement through terminology, CQL, and FHIR","volume":"11","author":"McClure","year":"2020","journal-title":"Appl Clin Inform"},{"key":"2021073020263880900_ocab066-B4","doi-asserted-by":"crossref","DOI":"10.1093\/acprof:oso\/9780195372922.001.0001","volume-title":"Principles and Practice of Public Health Surveillance","author":"Lee","year":"2010"},{"issue":"3","key":"2021073020263880900_ocab066-B5","first-page":"3","article-title":"Public health surveillance in the United States: evolution and challenges","volume":"61","author":"Thacker","year":"2012","journal-title":"MMWR Suppl"},{"issue":"7","key":"2021073020263880900_ocab066-B6","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1016\/j.ijmedinf.2010.04.002","article-title":"A Public Health Grid (PHGrid): architecture and value proposition for 21st century public health","volume":"79","author":"Savel","year":"2010","journal-title":"Int J Med Inform"},{"issue":"3","key":"2021073020263880900_ocab066-B7","doi-asserted-by":"crossref","first-page":"e1","DOI":"10.2105\/AJPH.2011.300542","article-title":"Public health surveillance and meaningful use regulations: a crisis of opportunity","volume":"102","author":"Lenert","year":"2012","journal-title":"Am J Public Health"},{"issue":"25","key":"2021073020263880900_ocab066-B8","doi-asserted-by":"crossref","first-page":"790","DOI":"10.15585\/mmwr.mm6925e1","article-title":"Characteristics associated with hospitalization among patients with COVID-19 - 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