{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T10:40:46Z","timestamp":1774435246921,"version":"3.50.1"},"reference-count":0,"publisher":"Georg Thieme Verlag KG","issue":"05","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Appl Clin Inform"],"published-print":{"date-parts":[[2019,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>\n          Background\u2003Interactive data visualization and dashboards can be an effective way to explore meaningful patterns in large clinical data sets and to inform quality improvement initiatives. However, these interactive dashboards may have usability issues that undermine their effectiveness. These usability issues can be attributed to mismatched mental models between the designers and the users. Unfortunately, very few evaluation studies in visual analytics have specifically examined such mismatches between these two groups.<\/jats:p><jats:p>\n          Objectives\u2003We aimed to evaluate the usability of an interactive surgical dashboard and to seek opportunities for improvement. We also aimed to provide empirical evidence to demonstrate the mismatched mental models between the designers and the users of the dashboard.<\/jats:p><jats:p>\n          Methods\u2003An interactive dashboard was developed in a large congenital heart center. This dashboard provides real-time, interactive access to clinical outcomes data for the surgical program. A mixed-method, two-phase study was conducted to collect user feedback. A group of designers (N\u2009=\u20093) and a purposeful sample of users (N\u2009=\u200912) were recruited. The qualitative data were analyzed thematically. The dashboards were compared using the System Usability Scale (SUS) and qualitative data.<\/jats:p><jats:p>\n          Results\u2003The participating users gave an average SUS score of 82.9 on the new dashboard and 63.5 on the existing dashboard (p\u2009=\u20090.006). The participants achieved high task accuracy when using the new dashboard. The qualitative analysis revealed three opportunities for improvement. The data analysis and triangulation provided empirical evidence to the mismatched mental models.<\/jats:p><jats:p>\n          Conclusion\u2003We conducted a mixed-method usability study on an interactive surgical dashboard and identified areas of improvements. Our study design can be an effective and efficient way to evaluate visual analytics systems in health care. We encourage researchers and practitioners to conduct user-centered evaluation and implement education plans to mitigate potential usability challenges and increase user satisfaction and adoption.<\/jats:p>","DOI":"10.1055\/s-0039-1698466","type":"journal-article","created":{"date-parts":[[2019,11,14]],"date-time":"2019-11-14T02:45:05Z","timestamp":1573699505000},"page":"859-869","source":"Crossref","is-referenced-by-count":41,"title":["Usability Testing of an Interactive Dashboard for Surgical Quality Improvement in a Large Congenital Heart Center"],"prefix":"10.1055","volume":"10","author":[{"given":"Danny T. Y.","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, University of Cincinnati, Cincinnati, Ohio, United States"},{"name":"Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, United States"}]},{"given":"Scott","family":"Vennemeyer","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, University of Cincinnati, Cincinnati, Ohio, United States"}]},{"given":"Kelly","family":"Brown","sequence":"additional","affiliation":[{"name":"Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States"}]},{"given":"Jason","family":"Revalee","sequence":"additional","affiliation":[{"name":"DAAP School of Design, University of Cincinnati, Cincinnati, Ohio, United States"}]},{"given":"Paul","family":"Murdock","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, University of Cincinnati, Cincinnati, Ohio, United States"}]},{"given":"Sarah","family":"Salomone","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, University of Cincinnati, Cincinnati, Ohio, United States"}]},{"given":"Ashton","family":"France","sequence":"additional","affiliation":[{"name":"Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States"}]},{"given":"Katherine","family":"Clarke-Myers","sequence":"additional","affiliation":[{"name":"Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States"}]},{"given":"Samuel P.","family":"Hanke","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio, United States"},{"name":"Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, United States"}]}],"member":"194","published-online":{"date-parts":[[2019,11,13]]},"container-title":["Applied Clinical Informatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.thieme-connect.de\/products\/ejournals\/pdf\/10.1055\/s-0039-1698466.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,14]],"date-time":"2019-11-14T02:45:05Z","timestamp":1573699505000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.thieme-connect.de\/DOI\/DOI?10.1055\/s-0039-1698466"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":0,"journal-issue":{"issue":"05","published-online":{"date-parts":[[2019,10,16]]},"published-print":{"date-parts":[[2019,10]]}},"URL":"https:\/\/doi.org\/10.1055\/s-0039-1698466","relation":{},"ISSN":["1869-0327"],"issn-type":[{"value":"1869-0327","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,10]]}}}