Title | ||
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Economic Evaluations Of Big Data Analytics For Clinical Decision-Making: A Scoping Review |
Abstract | ||
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Objective: 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.Materials and Methods: 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 "big data analytics" based on a broad definition of this term.Results: The search yielded 12 133 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 "big data analytics" and only 7 reported both cost-savings and better outcomes.Discussion: 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 "big data" limit policy makers and healthcare professionals from determining which big data initiatives are worth implementing. |
Year | DOI | Venue |
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2020 | 10.1093/jamia/ocaa102 | JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION |
Keywords | DocType | Volume |
big data, clinical decision-making, economics, data science, cost-effectiveness | Journal | 27 |
Issue | ISSN | Citations |
9 | 1067-5027 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
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Lytske Bakker | 1 | 0 | 0.34 |
Jos Aarts | 2 | 460 | 62.28 |
Carin Uyl-de Groot | 3 | 0 | 0.34 |
William Redekop | 4 | 0 | 0.34 |