{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T12:21:07Z","timestamp":1777638067403,"version":"3.51.4"},"reference-count":17,"publisher":"Georg Thieme Verlag KG","issue":"05","license":[{"start":{"date-parts":[[2023,10,6]],"date-time":"2023-10-06T00:00:00Z","timestamp":1696550400000},"content-version":"vor","delay-in-days":5,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100012462","name":"Office of Academic Affiliations, Department of Veterans Affairs","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100012462","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100009457","name":"American Medical Association","doi-asserted-by":"crossref","award":["American Medical Association Practice Transformati"],"award-info":[{"award-number":["American Medical Association Practice Transformati"]}],"id":[{"id":"10.13039\/100009457","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000738","name":"U.S. Department of Veterans Affairs","doi-asserted-by":"crossref","award":["CIN-13-407"],"award-info":[{"award-number":["CIN-13-407"]}],"id":[{"id":"10.13039\/100000738","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000026","name":"National Institute on Drug Abuse","doi-asserted-by":"crossref","award":["Funding to Dr. Melnick, unrelated to this work."],"award-info":[{"award-number":["Funding to Dr. Melnick, unrelated to this work."]}],"id":[{"id":"10.13039\/100000026","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000133","name":"Agency for Healthcare Research and Quality","doi-asserted-by":"crossref","award":["Funding to Dr. Melnick, unrelated to this work."],"award-info":[{"award-number":["Funding to Dr. Melnick, unrelated to this work."]}],"id":[{"id":"10.13039\/100000133","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Appl Clin Inform"],"published-print":{"date-parts":[[2023,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Precise, reliable, valid metrics that are cost-effective and require reasonable implementation time and effort are needed to drive electronic health record (EHR) improvements and decrease EHR burden. Differences exist between research and vendor definitions of metrics.<\/jats:p><jats:p>\n          Process\u2003We convened three stakeholder groups (health system informatics leaders, EHR vendor representatives, and researchers) in a virtual workshop series to achieve consensus on barriers, solutions, and next steps to implementing the core EHR use metrics in ambulatory care.<\/jats:p><jats:p>\n          Conclusion\u2003Actionable solutions identified to address core categories of EHR metric implementation challenges include: (1) maintaining broad stakeholder engagement, (2) reaching agreement on standardized measure definitions across vendors, (3) integrating clinician perspectives, and (4) addressing cognitive and EHR burden. Building upon the momentum of this workshop's outputs offers promise for overcoming barriers to implementing EHR use metrics.<\/jats:p>","DOI":"10.1055\/a-2187-3243","type":"journal-article","created":{"date-parts":[[2023,10,6]],"date-time":"2023-10-06T23:04:04Z","timestamp":1696633444000},"page":"944-950","source":"Crossref","is-referenced-by-count":5,"title":["Identifying and Addressing Barriers to Implementing Core Electronic Health Record Use Metrics for Ambulatory Care: Virtual Consensus Conference Proceedings"],"prefix":"10.1055","volume":"14","author":[{"given":"Deborah R.","family":"Levy","sequence":"additional","affiliation":[{"name":"Department of Veterans Affairs, VA Connecticut Healthcare System, West Haven, Connecticut, United States"},{"name":"Section of Biomedical Informatics and Data Sciences, Yale University School of Medicine, New Haven, Connecticut, United States"}]},{"given":"Amanda J.","family":"Moy","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, Columbia University, New York, New York, United States"}]},{"given":"Nate","family":"Apathy","sequence":"additional","affiliation":[{"name":"National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, District of Columbia, United States"},{"name":"Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Iowa, United States"}]},{"given":"Julia","family":"Adler-Milstein","sequence":"additional","affiliation":[{"name":"Department of Medicine, Center for Clinical Informatics and Improvement Research, University of California, San Francisco, California, United States"}]},{"given":"Lisa","family":"Rotenstein","sequence":"additional","affiliation":[{"name":"Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States"},{"name":"Harvard Medical School, Boston, Massachusetts, United States"}]},{"given":"Bidisha","family":"Nath","sequence":"additional","affiliation":[{"name":"Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut, United States"}]},{"given":"S. Trent","family":"Rosenbloom","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, Vanderbilt University, Nashville, Tennessee, United States"}]},{"given":"Thomas","family":"Kannampallil","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri, United States"},{"name":"Institute for Informatics, Data Science, and Biostatistics (I2DB), Washington University School of Medicine, St. Louis, Missouri, United States"}]},{"given":"Rebecca G.","family":"Mishuris","sequence":"additional","affiliation":[{"name":"Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States"},{"name":"Harvard Medical School, Boston, Massachusetts, United States"},{"name":"Digital, Mass General Brigham, Boston, Massachusetts, United States"}]},{"given":"Aram","family":"Alexanian","sequence":"additional","affiliation":[{"name":"Novant Health, Charlotte, North Carolina, United States"}]},{"given":"Amber","family":"Sieja","sequence":"additional","affiliation":[{"name":"Department of General Internal Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States"}]},{"given":"Michelle R.","family":"Hribar","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon, United States"}]},{"given":"Jigar S.","family":"Patel","sequence":"additional","affiliation":[{"name":"Oracle Corporation, Kansas City, Missouri, United States"}]},{"given":"Christine A.","family":"Sinsky","sequence":"additional","affiliation":[{"name":"American Medical Association, Chicago, Illinois, United States"}]},{"given":"Edward R.","family":"Melnick","sequence":"additional","affiliation":[{"name":"Section of Biomedical Informatics and Data Sciences, Yale University School of Medicine, New Haven, Connecticut, United 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