{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,22]],"date-time":"2026-03-22T05:33:47Z","timestamp":1774157627009,"version":"3.50.1"},"reference-count":31,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2022,2,28]],"date-time":"2022-02-28T00:00:00Z","timestamp":1646006400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"Informatics Technology for Cancer Research program of the US National Cancer Institute and by the National Cancer Institute of the National Institutes of Health","award":["U01CA232826"],"award-info":[{"award-number":["U01CA232826"]}]},{"name":"Informatics Technology for Cancer Research program of the US National Cancer Institute and by the National Cancer Institute of the National Institutes of Health","award":["U24CA204800"],"award-info":[{"award-number":["U24CA204800"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,4,13]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>\u2002<\/jats:title>\n                  <jats:p>Population health management (PHM) is an important approach to promote wellness and deliver health care to targeted individuals who meet criteria for preventive measures or treatment. A critical component for any PHM program is a data analytics platform that can target those eligible individuals.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>The aim of this study was to design and implement a scalable standards-based clinical decision support (CDS) approach to identify patient cohorts for PHM and maximize opportunities for multi-site dissemination.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Materials and Methods<\/jats:title>\n                  <jats:p>An architecture was established to support bidirectional data exchanges between heterogeneous electronic health record (EHR) data sources, PHM systems, and CDS components. HL7 Fast Healthcare Interoperability Resources and CDS Hooks were used to facilitate interoperability and dissemination. The approach was validated by deploying the platform at multiple sites to identify patients who meet the criteria for genetic evaluation of familial cancer.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>The Genetic Cancer Risk Detector (GARDE) platform was created and is comprised of four components: (1) an open-source CDS Hooks server for computing patient eligibility for PHM cohorts, (2) an open-source Population Coordinator that processes GARDE requests and communicates results to a PHM system, (3) an EHR Patient Data Repository, and (4) EHR PHM Tools to manage patients and perform outreach functions. Site-specific deployments were performed on onsite virtual machines and cloud-based Amazon Web Services.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Discussion<\/jats:title>\n                  <jats:p>GARDE\u2019s component architecture establishes generalizable standards-based methods for computing PHM cohorts. Replicating deployments using one of the established deployment methods requires minimal local customization. Most of the deployment effort was related to obtaining site-specific information technology governance approvals.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jamia\/ocac028","type":"journal-article","created":{"date-parts":[[2022,2,18]],"date-time":"2022-02-18T20:11:10Z","timestamp":1645215070000},"page":"928-936","source":"Crossref","is-referenced-by-count":24,"title":["GARDE: a standards-based clinical decision support platform for identifying population health management cohorts"],"prefix":"10.1093","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7363-0327","authenticated-orcid":false,"given":"Richard L","family":"Bradshaw","sequence":"first","affiliation":[{"name":"Department of Biomedical Informatics, University of Utah , Salt Lake City, Utah, USA"},{"name":"University of Utah Health , Salt Lake City, Utah, 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Informatics, University of Utah , Salt Lake City, Utah, USA"},{"name":"Intermountain Healthcare , Salt Lake City, Utah, USA"}]},{"given":"Ophira","family":"Ginsburg","sequence":"additional","affiliation":[{"name":"New York University Langone Health , New York City, New York, USA"}]},{"given":"Melody","family":"Goodman","sequence":"additional","affiliation":[{"name":"School of Global and Public Health, New York University , New York City, New York, USA"}]},{"given":"Rachelle","family":"Chambers","sequence":"additional","affiliation":[{"name":"New York University Langone Health , New York City, New York, USA"}]},{"given":"Devin","family":"Mann","sequence":"additional","affiliation":[{"name":"New York University Langone Health , New York City, New York, USA"}]},{"given":"Scott P","family":"Narus","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, University of Utah , Salt Lake City, Utah, USA"}]},{"given":"Javier","family":"Gonzalez","sequence":"additional","affiliation":[{"name":"New York University Langone Health , New York City, New York, USA"}]},{"given":"Shane","family":"Loomis","sequence":"additional","affiliation":[{"name":"New York University Langone Health , New York City, New York, USA"},{"name":"Epic Systems Corporation , Madison, Wisconsin, USA"}]},{"given":"Priscilla","family":"Chan","sequence":"additional","affiliation":[{"name":"New York University Langone Health , New York City, New York, USA"}]},{"given":"Rachel","family":"Monahan","sequence":"additional","affiliation":[{"name":"New York University Langone Health , New York City, New York, USA"}]},{"given":"Emerson P","family":"Borsato","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, University of Utah , Salt Lake City, Utah, USA"}]},{"given":"David E","family":"Shields","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, University 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