The use and role of digital technology in learning health systems: A scoping review.

Digital technology Learning cycle Learning health system

Journal

International journal of medical informatics
ISSN: 1872-8243
Titre abrégé: Int J Med Inform
Pays: Ireland
ID NLM: 9711057

Informations de publication

Date de publication:
10 2023
Historique:
received: 18 04 2023
revised: 12 07 2023
accepted: 12 08 2023
medline: 23 10 2023
pubmed: 25 8 2023
entrez: 24 8 2023
Statut: ppublish

Résumé

The review aimed to identify which digital technologies are proposed or used within learning health systems (LHS) and to analyze the extent to which they support learning processes in LHS. Multiple databases and grey literature were searched with terms related to LHS. Manual searches and backward searches of reference lists were also undertaken. The review considered publications from 2007 to 2022. Records focusing on LHS, referring to one or more digital technologies, and describing how at least one digital technology could be used in LHS were included. 2046 records were screened for inclusion and 154 records were included in the analysis. Twenty categories of digital technology were identified. The two most common ones across records were data recording and processing and electronic health records. Digital technology was primarily leveraged to support data access and aggregation and data analysis, two of the seven recognized learning processes within LHS learning cycles. The results of the review show that a wide array of digital technologies is being leveraged to support learning cycles within LHS. Nevertheless, an over-reliance on a narrow set of technologies supporting knowledge discovery, a lack of direct evaluation of digital technologies and ambiguity in technology descriptions are hindering the realization of the LHS vision. Future LHS research and initiatives should aim to integrate digital technology to support practice change and impact evaluation. The use of recognized evaluation methods for health information technology and more detailed descriptions of proposed technologies are also recommended.

Identifiants

pubmed: 37619395
pii: S1386-5056(23)00214-9
doi: 10.1016/j.ijmedinf.2023.105196
pii:
doi:

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

105196

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Alison Coates (A)

Telfer School of Management, University of Ottawa, Ottawa, Canada.

Alexander Q H Chung (AQH)

Faculté des sciences de l'administration, Université Laval, Québec, Canada.

Lysanne Lessard (L)

Telfer School of Management, University of Ottawa, Ottawa, Canada, Institut du Savoir Montfort - Research, Ottawa, Canada, LIFE Research Institute, University of Ottawa, Ottawa, Canada. Electronic address: lessard@telfer.uottawa.ca.

Agnes Grudniewicz (A)

Telfer School of Management, University of Ottawa, Ottawa, Canada, Institut du Savoir Monfort - Research, Ottawa, Canada.

Cathryn Espadero (C)

Telfer School of Management, University of Ottawa, Ottawa, Canada.

Yasaman Gheidar (Y)

Telfer School of Management, University of Ottawa, Ottawa, Canada.

Sampath Bemgal (S)

Telfer School of Management, University of Ottawa, Ottawa, Canada.

Emily Da Silva (E)

University of Ottawa, Ottawa, Canada.

Antoine Sauré (A)

Telfer School of Management, University of Ottawa, Ottawa, Canada.

James King (J)

Children's Hospital of Eastern Ontario, Ottawa, Canada.

Michael Fung-Kee-Fung (M)

Departments of Obstetrics-Gynaecology and Surgery, Faculty of Medicine, University of Ottawa, Ottawa, Canada, The Ottawa Hospital - General Campus, University of Ottawa/Ottawa Regional Cancer Centre, Ottawa, Canada.

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Classifications MeSH