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Based on a long-term field study in an urban trauma center that involved observation-, interview-, and survey-based studies to understand our target users and their working environment, we designed and implemented <jats:italic>MediSenseView<\/jats:italic> as a working prototype. <jats:italic>MediSenseView<\/jats:italic> is a clinical-data interface system, which was developed through the identification of three core challenges of existing interface system use in a trauma care unit\u2014<jats:italic>device separation<\/jats:italic>, <jats:italic>usage inefficiency<\/jats:italic>, and <jats:italic>system immobility<\/jats:italic>\u2014from the perspectives of three staff groups in our target environment (i.e., doctors, clinical nurses and research nurses), and through an iterative design study. The results from our pilot deployment of <jats:italic>MediSenseView<\/jats:italic> and a user study performed with 28 trauma center staff members highlight their work efficiency and satisfaction with <jats:italic>MediSenseView<\/jats:italic> compared to existing clinical data interface systems in the hospital.<\/jats:p>","DOI":"10.1371\/journal.pone.0251140","type":"journal-article","created":{"date-parts":[[2021,5,12]],"date-time":"2021-05-12T17:37:26Z","timestamp":1620841046000},"page":"e0251140","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":8,"title":["Disentangling the clinical data chaos: User-centered interface system design for trauma centers"],"prefix":"10.1371","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6631-6938","authenticated-orcid":true,"given":"JaeYeon","family":"Park","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Soyoung","family":"Rhim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyungsik","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0799-4039","authenticated-orcid":true,"given":"JeongGil","family":"Ko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2021,5,12]]},"reference":[{"key":"pone.0251140.ref001","article-title":"\u201cBig data\u201d in the intensive care unit","author":"L Anthony Celi","year":"2013","journal-title":"Closing the data loop"},{"issue":"1","key":"pone.0251140.ref002","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1186\/2047-2501-2-3","article-title":"Big data analytics in healthcare: promise and potential","volume":"2","author":"W Raghupathi","year":"2014","journal-title":"Health Information Science and Systems"},{"key":"pone.0251140.ref003","article-title":"Big data analytics in intensive care units: challenges and applicability in an Argentinian hospital","volume":"15","author":"J Balladini","year":"2015","journal-title":"Journal of Computer Science & Technology"},{"key":"pone.0251140.ref004","doi-asserted-by":"crossref","DOI":"10.1155\/2015\/727694","article-title":"Information technology in critical care: Review of monitoring and data acquisition systems for patient care and research","volume":"2015","author":"M De Georgia","year":"2015","journal-title":"Scientific World Journal"},{"key":"pone.0251140.ref005","doi-asserted-by":"crossref","unstructured":"Ghassemi M, Naumann T, Doshi-Velez F, Brimmer N, Joshi R, Rumshisky A, et al. 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