A Framework for Analysing Learning Health Systems: Are we removing the most impactful barriers?

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dc.citation.issue4
dc.citation.volume3
dc.contributor.authorMcLachlan S
dc.contributor.authorDube K
dc.contributor.authorJohnson O
dc.contributor.authorBuchanan D
dc.contributor.authorPotts HWW
dc.contributor.authorGallagher T
dc.contributor.authorFenton N
dc.coverage.spatialUnited States
dc.date.available2019-10
dc.date.available2019-03-05
dc.date.issued21/10/2019
dc.description.abstractIntroduction: Learning health systems (LHS) are one of the major computing advances in health care. However, no prior research has systematically analysed barriers and facilitators for LHS. This paper presents an investigation into the barriers, benefits, and facilitating factors for LHS in order to create a basis for their successful implementation and adoption. Methods: First, the ITPOSMO‐BBF framework was developed based on the established ITPOSMO (information, technology, processes, objectives, staffing, management, and other factors) framework, extending it for analysing barriers, benefits, and facilitators. Second, the new framework was applied to LHS. Results: We found that LHS shares similar barriers and facilitators with electronic health records (EHR); in particular, most facilitator effort in implementing EHR andLHS goes towards barriers categorised as human factors, even though they were seen to carry fewer benefits. Barriers whose resolution would bring significant benefits in safety, quality, and health outcomes remain. Discussion: LHS envisage constant generation of new clinical knowledge and practice based on the central role of collections of EHR. Once LHS are constructed and operational, they trigger new data streams into the EHR. So LHS and EHR have a symbiotic relationship. The implementation and adoption of EHRs have proved and continues to prove challenging, and there are many lessons for LHS arising from these challenges. Conclusion: Successful adoption of LHS should take account of the framework proposed in this paper, especially with respect to its focus on removing barriers that have the most impact
dc.description.publication-statusPublished online
dc.format.extente10189 - ?
dc.identifierhttps://www.ncbi.nlm.nih.gov/pubmed/31641685
dc.identifierLRH210189
dc.identifier.citationLearn Health Syst, 2019, 3 (4), pp. e10189 - ?
dc.identifier.doi10.1002/lrh2.10189
dc.identifier.eissn2379-6146
dc.identifier.elements-id422122
dc.identifier.harvestedMassey_Dark
dc.identifier.urihttps://hdl.handle.net/10179/14478
dc.languageeng
dc.publisherWiley Periodicals, Inc on behalf of the University of Michigan
dc.relation.isPartOfLearn Health Syst
dc.subjectelectronic health records
dc.subjectlearning health care systems
dc.subjectlearning health systems
dc.titleA Framework for Analysing Learning Health Systems: Are we removing the most impactful barriers?
dc.typeJournal article
pubs.notesNot known
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/College of Sciences
pubs.organisational-group/Massey University/College of Sciences/School of Mathematical and Computational Sciences
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