Economic evaluations of big data analytics for clinical decision-making: a scoping review
In: Journal of the American Medical Informatics Association : JAMIA, Jg. 27 (2020-01-30), Heft 9
Online
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Zugriff:
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.
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Economic evaluations of big data analytics for clinical decision-making: a scoping review
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Autor/in / Beteiligte Person: | Redekop, William K. ; Aarts, Jos ; Carin A. Uyl-de Groot ; Bakker, Lytske ; Health Technology Assessment (HTA) |
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Zeitschrift: | Journal of the American Medical Informatics Association : JAMIA, Jg. 27 (2020-01-30), Heft 9 |
Veröffentlichung: | 2020 |
Medientyp: | unknown |
ISSN: | 1527-974X (print) ; 1067-5027 (print) |
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