{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T14:31:22Z","timestamp":1774103482736,"version":"3.50.1"},"reference-count":106,"publisher":"Oxford University Press (OUP)","issue":"9","license":[{"start":{"date-parts":[[2020,7,9]],"date-time":"2020-07-09T00:00:00Z","timestamp":1594252800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"Erasmus Medical Centre-Erasmus University Medical Centre, Rotterdam"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,9,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objective<\/jats:title><jats:p>Much has been invested in big data analytics to improve health and reduce costs. However, it is unknown whether these investments have achieved the desired goals. We performed a scoping review to determine the health and economic impact of big data analytics for clinical decision-making.<\/jats:p><\/jats:sec><jats:sec><jats:title>Materials and Methods<\/jats:title><jats:p>We searched Medline, Embase, Web of Science and the National Health Services Economic Evaluations Database for relevant articles. We included peer-reviewed papers that report the health economic impact of analytics that assist clinical decision-making. We extracted the economic methods and estimated impact and also assessed the quality of the methods used. In addition, we estimated how many studies assessed \u201cbig data analytics\u201d based on a broad definition of this term.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The search yielded 12\u00a0133 papers but only 71 studies fulfilled all eligibility criteria. Only a few papers were full economic evaluations; many were performed during development. Papers frequently reported savings for healthcare payers but only 20% also included costs of analytics. Twenty studies examined \u201cbig data analytics\u201d and only 7 reported both cost-savings and better outcomes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>The promised potential of big data is not yet reflected in the literature, partly since only a few full and properly performed economic evaluations have been published. This and the lack of a clear definition of \u201cbig data\u201d limit policy makers and healthcare professionals from determining which big data initiatives are worth implementing.<\/jats:p><\/jats:sec>","DOI":"10.1093\/jamia\/ocaa102","type":"journal-article","created":{"date-parts":[[2020,5,11]],"date-time":"2020-05-11T11:08:19Z","timestamp":1589195299000},"page":"1466-1475","source":"Crossref","is-referenced-by-count":25,"title":["Economic evaluations of big data analytics for clinical decision-making: a scoping review"],"prefix":"10.1093","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8583-0115","authenticated-orcid":false,"given":"Lytske","family":"Bakker","sequence":"first","affiliation":[{"name":"Erasmus School of Health Policy and Management, Erasmus University, Rotterdam, Netherlands"},{"name":"Institute for Medical Technology\u00a0Assessment,\u00a0Erasmus University, Rotterdam, Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9787-688X","authenticated-orcid":false,"given":"Jos","family":"Aarts","sequence":"additional","affiliation":[{"name":"Erasmus School of Health Policy and Management, Erasmus University, Rotterdam, Netherlands"}]},{"given":"Carin","family":"Uyl-de Groot","sequence":"additional","affiliation":[{"name":"Erasmus School of Health Policy and Management, Erasmus University, Rotterdam, Netherlands"},{"name":"Institute for Medical Technology\u00a0Assessment,\u00a0Erasmus University, Rotterdam, Netherlands"}]},{"given":"William","family":"Redekop","sequence":"additional","affiliation":[{"name":"Erasmus School of Health Policy and Management, Erasmus University, Rotterdam, Netherlands"},{"name":"Institute for Medical Technology\u00a0Assessment,\u00a0Erasmus University, Rotterdam, Netherlands"}]}],"member":"286","published-online":{"date-parts":[[2020,7,9]]},"reference":[{"key":"2020110613105710700_ocaa102-B1","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.ijmedinf.2018.03.013","article-title":"Concurrence of big data analytics and healthcare: a systematic review","volume":"114","author":"Mehta","year":"2018","journal-title":"Int J Med Inform"},{"issue":"7","key":"2020110613105710700_ocaa102-B2","doi-asserted-by":"crossref","first-page":"1123","DOI":"10.1377\/hlthaff.2014.0041","article-title":"Big data in health care: using analytics to identify and manage high-risk and high-cost patients","volume":"33","author":"Bates","year":"2014","journal-title":"Health Aff (Millwood)"},{"issue":"5","key":"2020110613105710700_ocaa102-B3","doi-asserted-by":"crossref","first-page":"1239","DOI":"10.1016\/j.chest.2018.04.037","article-title":"Big data and data science in critical care","volume":"154","author":"Sanchez-Pinto","year":"2018","journal-title":"Chest"},{"issue":"11","key":"2020110613105710700_ocaa102-B4","doi-asserted-by":"crossref","first-page":"1157","DOI":"10.1164\/rccm.201212-2311ED","article-title":"Big data\u201d in the intensive care unit. 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