Economic evaluations of big data analytics for clinical decision-making: a scoping review
| Autor: | William K. Redekop, Jos Aarts, Carin A. Uyl-de Groot, Lytske Bakker |
|---|---|
| Přispěvatelé: | Health Technology Assessment (HTA) |
| Rok vydání: | 2020 |
| Předmět: |
Big Data
data science cost-effectiveness AcademicSubjects/SCI01060 Cost effectiveness media_common.quotation_subject Cost-Benefit Analysis Big data MEDLINE Reviews Health Informatics Clinical decision making Cost Savings Health care Humans Quality (business) Economic impact analysis AcademicSubjects/MED00580 media_common clinical decision-making business.industry Data Science economics Data science Models Economic Analytics Business AcademicSubjects/SCI01530 Delivery of Health Care |
| Zdroj: | Journal of the American Medical Informatics Association : JAMIA Journal of the American Medical Informatics Association. Oxford University Press |
| ISSN: | 1527-974X 1067-5027 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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