{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T19:11:15Z","timestamp":1760728275962,"version":"3.37.3"},"reference-count":6,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2020,3,17]],"date-time":"2020-03-17T00:00:00Z","timestamp":1584403200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"Private Diagnostic Clinics"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,5,1]]},"abstract":"Abstract<\/jats:title>\n \n Objective<\/jats:title>\n While electronic health record (EHR) systems store copious amounts of patient data, aggregating those data across patients can be challenging. Visual analytic tools that integrate with EHR systems allow clinicians to gain better insight and understanding into clinical care and management. We report on our experience building Tableau-based visualizations and integrating them into our EHR system.<\/jats:p>\n <\/jats:sec>\n \n Materials and Methods<\/jats:title>\n Visual analytic tools were created as part of 12 clinician-initiated quality improvement projects. We built the visual analytic tools in Tableau and linked it within our EPIC environment. We identified 5 visual themes that spanned the various projects. To illustrate these themes, we choose 1 exemplary project which aimed to improve obstetric operating room efficiency.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n Across our 12 projects, we identified 5 visual themes that are integral to project success: scheduling & optimization (in 11\/12 projects); provider assessment (10\/12); executive assessment (8\/12); patient outcomes (7\/12); and control and goal charts (2\/12).<\/jats:p>\n <\/jats:sec>\n \n Discussion<\/jats:title>\n Many visualizations share common themes. Identification of these themes has allowed our internal team to be more efficient and directed in developing visualizations for future projects.<\/jats:p>\n <\/jats:sec>\n \n Conclusion<\/jats:title>\n Organizing visual analytics into themes can allow informatics teams to more efficiently provide visual products to clinical collaborators.<\/jats:p>\n <\/jats:sec>","DOI":"10.1093\/jamia\/ocaa016","type":"journal-article","created":{"date-parts":[[2020,1,30]],"date-time":"2020-01-30T12:18:26Z","timestamp":1580386706000},"page":"783-787","source":"Crossref","is-referenced-by-count":7,"title":["Identified themes of interactive visualizations overlayed onto EHR data: an example of improving birth center operating room efficiency"],"prefix":"10.1093","volume":"27","author":[{"given":"Andrew","family":"Stirling","sequence":"first","affiliation":[{"name":"Duke Health Technology Solutions, Duke University Health System, Durham, North Carolina, USA"}]},{"given":"Tracy","family":"Tubb","sequence":"additional","affiliation":[{"name":"Duke Health Technology Solutions, Duke University Health System, Durham, North Carolina, USA"}]},{"given":"Emily S","family":"Reiff","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Brigham and Women\u2019s Hospital, Boston, Massachusetts, USA"}]},{"given":"Chad A","family":"Grotegut","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology, Duke University School of Medicine, Durham, North Carolina, USA"}]},{"given":"Jennifer","family":"Gagnon","sequence":"additional","affiliation":[{"name":"Duke Health Technology Solutions, Duke University Health System, Durham, North Carolina, USA"}]},{"given":"Weiyi","family":"Li","sequence":"additional","affiliation":[{"name":"Duke Health Technology Solutions, Duke University Health System, Durham, North Carolina, USA"}]},{"given":"Gail","family":"Bradley","sequence":"additional","affiliation":[{"name":"Duke Health Technology Solutions, Duke University Health System, Durham, North Carolina, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7251-5842","authenticated-orcid":false,"given":"Eric G","family":"Poon","sequence":"additional","affiliation":[{"name":"Duke Health Technology Solutions, Duke University Health System, Durham, North Carolina, USA"},{"name":"Department of Medicine, Duke University, Durham, North Carolina, USA"},{"name":"Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA"}]},{"given":"Benjamin A","family":"Goldstein","sequence":"additional","affiliation":[{"name":"Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA"},{"name":"Children\u2019s Health & Discovery Initiative, Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA"}]}],"member":"286","published-online":{"date-parts":[[2020,3,17]]},"reference":[{"issue":"4","key":"2020110613081220600_ocaa016-B1","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.jaccedu.2014.09.003","article-title":"Making sense of complex data using interactive data visualization","volume":"32","author":"Janvrin","year":"2014","journal-title":"J Account Educ"},{"issue":"4","key":"2020110613081220600_ocaa016-B2","doi-asserted-by":"crossref","first-page":"349","DOI":"10.4258\/hir.2017.23.4.349","article-title":"Interactive visualization of healthcare data using tableau","volume":"23","author":"Ko","year":"2017","journal-title":"Healthc Inform Res"},{"issue":"5","key":"2020110613081220600_ocaa016-B3","doi-asserted-by":"crossref","first-page":"640","DOI":"10.1007\/s10278-018-0065-z","article-title":"Developing an interactive data visualization tool to assess the impact of decision support on clinical operations","volume":"31","author":"Huber","year":"2018","journal-title":"J Digit Imaging"},{"key":"2020110613081220600_ocaa016-B4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ijmedinf.2018.05.003","article-title":"Interactive data visualization based on conventional statistical findings for antihypertensive prescriptions using National Health Insurance claims data","volume":"116","author":"Ko","year":"2018","journal-title":"Int J Med Inform"},{"issue":"7","key":"2020110613081220600_ocaa016-B5","doi-asserted-by":"crossref","first-page":"1378","DOI":"10.1007\/s00246-018-1907-7","article-title":"Comparison of left ventricular hypertrophy by electrocardiography and echocardiography in children using analytics tool","volume":"39","author":"Tague","year":"2018","journal-title":"Pediatr Cardiol"},{"issue":"4","key":"2020110613081220600_ocaa016-B6","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1080\/02763869.2017.1369292","article-title":"Using maps to promote data-driven decision-making: One library\u2019s experience in data visualization instruction","volume":"36","author":"Catalano","year":"2017","journal-title":"Med Ref Serv Q"}],"container-title":["Journal of the American Medical Informatics 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