Learning health systems using data to drive healthcare improvement and impact: a systematic review.

摘要: The transition to electronic health records offers the potential for big data drive next frontier in healthcare improvement. Yet there are multiple barriers harnessing power of data. Learning Health System (LHS) has emerged as a model overcome these barriers, yet remains limited evidence impact on delivery or outcomes healthcare. To gather effects LHS hubs aligned models that use deliver improvement and impact. Any reported process, was captured. Systematic review from CINAHL, EMBASE, MEDLINE, Medline in-process Web Science PubMed databases, using learning system, hub, data-driven, ehealth, informatics, collaborations, partnerships, translation terms. English-language, peer-reviewed literature published between January 2014 Sept 2019 captured, supplemented by grey search. Eligibility criteria included studies research leading Overall, 1076 titles were identified, with 43 eligible studies, across 23 environments. Most environments United States (n = 18) others Canada, UK, Sweden Australia/NZ. Five (21.7%) produced medium-high level evidence, which publications. producing continents settings.