{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T20:51:36Z","timestamp":1762980696040},"reference-count":0,"publisher":"Georg Thieme Verlag KG","issue":"02","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"vor","delay-in-days":61,"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":[[2019,3]]},"abstract":"\n Background\u2003The purpose of this article is to describe neonatal intensive care unit clinician perceptions of a continuous predictive analytics technology and how those perceptions influenced clinician adoption. Adopting and integrating new technology into care is notoriously slow and difficult; realizing expected gains remain a challenge.<\/jats:p>\n Methods\u2003Semistructured interviews from a cross-section of neonatal physicians (n\u2009=\u200914) and nurses (n\u2009=\u20098) from a single U.S. medical center were collected 18 months following the conclusion of the predictive monitoring technology randomized control trial. Following qualitative descriptive analysis, innovation attributes from Diffusion of Innovation Theory-guided thematic development.<\/jats:p>\n Results\u2003Results suggest that the combination of physical location as well as lack of integration into work flow or methods of using data in care decisionmaking may have delayed clinicians from routinely paying attention to the data. Once data were routinely collected, documented, and reported during patient rounds and patient handoffs, clinicians came to view data as another vital sign. Through clinicians' observation of senior physicians and nurses, and ongoing dialogue about data trends and patient status, clinicians learned how to integrate these data in care decision making (e.g., differential diagnosis) and came to value the technology as beneficial to care delivery.<\/jats:p>\n Discussion\u2003The use of newly created predictive technologies that provide early warning of illness may require implementation strategies that acknowledge the risk\u2013benefit of treatment clinicians must balance and take advantage of existing clinician training methods.<\/jats:p>","DOI":"10.1055\/s-0039-1688478","type":"journal-article","created":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T22:39:18Z","timestamp":1556750358000},"page":"295-306","source":"Crossref","is-referenced-by-count":26,"title":["Diffusing an Innovation: Clinician Perceptions of Continuous Predictive Analytics Monitoring in Intensive Care"],"prefix":"10.1055","volume":"10","author":[{"given":"Rebecca","family":"Kitzmiller","sequence":"additional","affiliation":[{"name":"School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States"}]},{"given":"Ashley","family":"Vaughan","sequence":"additional","affiliation":[{"name":"School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States"}]},{"given":"Angela","family":"Skeeles-Worley","sequence":"additional","affiliation":[{"name":"Curry School of Education and Human Development, University of Virginia, Charlottesville, Virginia, United States"}]},{"given":"Jessica","family":"Keim-Malpass","sequence":"additional","affiliation":[{"name":"School of Nursing, University of Virginia, Charlottesville, Virginia, United States"}]},{"given":"Tracey","family":"Yap","sequence":"additional","affiliation":[{"name":"School of Nursing, Duke University, Durham, North Carolina, United States"}]},{"given":"Curt","family":"Lindberg","sequence":"additional","affiliation":[{"name":"Billings Clinic, Billings, Montana, United States"}]},{"given":"Susan","family":"Kennerly","sequence":"additional","affiliation":[{"name":"College of Nursing, East Carolina University, Greenville, North Carolina\u00b8 United States"}]},{"given":"Claire","family":"Mitchell","sequence":"additional","affiliation":[{"name":"Curry School of Education and Human Development, University of Virginia, Charlottesville, Virginia, United States"}]},{"given":"Robert","family":"Tai","sequence":"additional","affiliation":[{"name":"Curry School of Education and Human Development, University of Virginia, Charlottesville, Virginia, United States"}]},{"given":"Brynne","family":"Sullivan","sequence":"additional","affiliation":[{"name":"Division of Neonatology, University of Virginia, Charlottesville, Virginia, United States"}]},{"given":"Ruth","family":"Anderson","sequence":"additional","affiliation":[{"name":"School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States"}]},{"given":"Joseph","family":"Moorman","sequence":"additional","affiliation":[{"name":"Departments of Cardiology and Biomedical Engineering, University of Virginia, Charlottesville, Virginia, United States"},{"name":"Center for Advanced Medical Analytics, University of Virginia, Charlottesville, Virginia, United States"}]}],"member":"194","published-online":{"date-parts":[[2019,5,1]]},"container-title":["Applied Clinical Informatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.thieme-connect.de\/products\/ejournals\/pdf\/10.1055\/s-0039-1688478.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,6]],"date-time":"2019-05-06T21:22:08Z","timestamp":1557177728000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.thieme-connect.de\/DOI\/DOI?10.1055\/s-0039-1688478"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3]]},"references-count":0,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2019,3,13]]},"published-print":{"date-parts":[[2019,3]]}},"URL":"https:\/\/doi.org\/10.1055\/s-0039-1688478","relation":{},"ISSN":["1869-0327"],"issn-type":[{"value":"1869-0327","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3]]}}}