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Learning health systems: A review of key topic areas and bibliometric trends
Author(s) -
Pomare Chiara,
Mahmoud Zeyad,
Vedovi Alex,
Ellis Louise A.,
Knaggs Gilbert,
Smith Carolynn L.,
Zurynski Yvonne,
Braithwaite Jeffrey
Publication year - 2022
Publication title -
learning health systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.501
H-Index - 9
ISSN - 2379-6146
DOI - 10.1002/lrh2.10265
Subject(s) - citation , empirical research , health care , bibliometrics , data science , management science , psychology , computer science , library science , political science , engineering , epistemology , philosophy , law
Abstract Introduction The emergent field of learning health systems (LHSs) has been rapidly evolving as the concept continues to be embraced by researchers, managers, and clinicians. This paper reports on a scoping review and bibliometric analysis of the LHS literature to identify key topic areas and examine the influence and spread of recent research. Methods We conducted a scoping review of LHS literature published between January 2016 and May 2020. The authors extracted publication data (eg, journal, country, authors, citation count, keywords) and reviewed full‐texts to identify: type of study (empirical, non‐empirical, or review), degree of focus (general or specific), and the reference used when defining LHSs. Results A total of 272 publications were included in this review. Almost two thirds (65.1%) of the included articles were non‐empirical and over two‐thirds (68.4%) were from authors in the United States. More than half of the publications focused on specific areas, for example: oncology, cardiovascular care, and genomic medicine. Other key topic areas included: ethics, research, quality improvement, and electronic health records. We identified that definitions of the LHS concept are converging; however, many papers focused on data platforms and analytical processes rather than organisational and behavioural factors to support change and learning activities. Conclusions The literature on LHSs remains largely theoretical with definitions of LHSs focusing on technical processes to reuse data collected during the clinical process and embedding analysed data back into the system. A shift in the literature to empirical LHS studies with consideration of organisational and human factors is warranted.

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