{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T19:42:56Z","timestamp":1777318976620,"version":"3.51.4"},"reference-count":0,"publisher":"Georg Thieme Verlag KG","issue":"03","license":[{"start":{"date-parts":[[2018,8,29]],"date-time":"2018-08-29T00:00:00Z","timestamp":1535500800000},"content-version":"vor","delay-in-days":59,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Appl Clin Inform"],"published-print":{"date-parts":[[2018,7]]},"abstract":"<jats:p>\n            Background\u2003Defining clinical conditions from electronic health record (EHR) data underpins population health activities, clinical decision support, and analytics. In an EHR, defining a condition commonly employs a diagnosis value set or \u201cgrouper.\u201d For constructing value sets, Systematized Nomenclature of Medicine\u2013Clinical Terms (SNOMED CT) offers high clinical fidelity, a hierarchical ontology, and wide implementation in EHRs as the standard interoperability vocabulary for problems.<\/jats:p><jats:p>\n            Objective\u2003This article demonstrates a practical approach to defining conditions with combinations of SNOMED CT concept hierarchies, and evaluates sharing of definitions for clinical and analytic uses.<\/jats:p><jats:p>\n            Methods\u2003We constructed diagnosis value sets for EHR patient registries using SNOMED CT concept hierarchies combined with Boolean logic, and shared them for clinical decision support, reporting, and analytic purposes.<\/jats:p><jats:p>\n            Results\u2003A total of 125 condition-defining \u201cstandard\u201d SNOMED CT diagnosis value sets were created within our EHR. The median number of SNOMED CT concept hierarchies needed was only 2 (25th\u201375th percentiles: 1\u20135). Each value set, when compiled as an EHR diagnosis grouper, was associated with a median of 22 International Classification of Diseases (ICD)-9 and ICD-10 codes (25th\u201375th percentiles: 8\u201385) and yielded a median of 155 clinical terms available for selection by clinicians in the EHR (25th\u201375th percentiles: 63\u2013976). Sharing of standard groupers for population health, clinical decision support, and analytic uses was high, including 57 patient registries (with 362 uses of standard groupers), 132 clinical decision support records, 190 rules, 124 EHR reports, 125 diagnosis dimension slicers for self-service analytics, and 111 clinical quality measure calculations. Identical SNOMED CT definitions were created in an EHR-agnostic tool enabling application across disparate organizations and EHRs.<\/jats:p><jats:p>\n            Conclusion\u2003SNOMED CT-based diagnosis value sets are simple to develop, concise, understandable to clinicians, useful in the EHR and for analytics, and shareable. Developing curated SNOMED CT hierarchy-based condition definitions for public use could accelerate cross-organizational population health efforts, \u201csmarter\u201d EHR feature configuration, and clinical\u2013translational research employing EHR-derived data.<\/jats:p>","DOI":"10.1055\/s-0038-1668090","type":"journal-article","created":{"date-parts":[[2018,8,29]],"date-time":"2018-08-29T19:27:20Z","timestamp":1535570840000},"page":"667-682","source":"Crossref","is-referenced-by-count":39,"title":["SNOMED CT Concept Hierarchies for Sharing Definitions of Clinical Conditions Using Electronic Health Record Data"],"prefix":"10.1055","volume":"09","author":[{"given":"Duwayne","family":"Willett","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, United States"},{"name":"Health System Information Resources Department, University of Texas Southwestern Medical Center, Dallas, Texas, United States"}]},{"given":"Vaishnavi","family":"Kannan","sequence":"additional","affiliation":[{"name":"Health System Information Resources Department, University of Texas Southwestern Medical Center, Dallas, Texas, United States"}]},{"given":"Ling","family":"Chu","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, United States"},{"name":"Health System Information Resources Department, University of Texas Southwestern Medical Center, Dallas, Texas, United States"}]},{"given":"Joel","family":"Buchanan","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Wisconsin School of Medicine and Public Health, University of Wisconsin\u2013Madison, Madison, Wisconsin, United States"}]},{"given":"Ferdinand","family":"Velasco","sequence":"additional","affiliation":[{"name":"Texas Health Resources, Arlington, Texas, United States"},{"name":"Southwestern Health Resources, Dallas, Texas, United States"}]},{"given":"John","family":"Clark","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, United States"}]},{"given":"Jason","family":"Fish","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, United States"},{"name":"Southwestern Health Resources, Dallas, Texas, United States"}]},{"given":"Adolfo","family":"Ortuzar","sequence":"additional","affiliation":[{"name":"Health System Information Resources Department, University of Texas Southwestern Medical Center, Dallas, Texas, United States"}]},{"given":"Josh","family":"Youngblood","sequence":"additional","affiliation":[{"name":"Health System Information Resources Department, University of Texas Southwestern Medical Center, Dallas, Texas, United States"}]},{"given":"Deepa","family":"Bhat","sequence":"additional","affiliation":[{"name":"Southwestern Health Resources, Dallas, Texas, United States"}]},{"given":"Mujeeb","family":"Basit","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, United States"},{"name":"Health System Information Resources Department, University of Texas Southwestern Medical Center, Dallas, Texas, United States"}]}],"member":"194","published-online":{"date-parts":[[2018,8,29]]},"container-title":["Applied Clinical Informatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.thieme-connect.de\/products\/ejournals\/pdf\/10.1055\/s-0038-1668090.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,6]],"date-time":"2019-05-06T16:46:02Z","timestamp":1557161162000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.thieme-connect.de\/DOI\/DOI?10.1055\/s-0038-1668090"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":0,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2018,7,3]]},"published-print":{"date-parts":[[2018,7]]}},"URL":"https:\/\/doi.org\/10.1055\/s-0038-1668090","relation":{},"ISSN":["1869-0327"],"issn-type":[{"value":"1869-0327","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,7]]}}}