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dc.contributor.authorMcLachlan, Sen_US
dc.contributor.authorDube, Ken_US
dc.contributor.authorJohnson, Oen_US
dc.contributor.authorBuchanan, Den_US
dc.contributor.authorPotts, HWWen_US
dc.contributor.authorGallagher, Ten_US
dc.contributor.authorFenton, Nen_US
dc.coverage.spatialUnited Statesen_US
dc.date.available2019-10en_US
dc.date.available2019-03-05en_US
dc.date.issued2019-10en_US
dc.identifierhttps://www.ncbi.nlm.nih.gov/pubmed/31641685en_US
dc.identifierLRH210189en_US
dc.identifier.citationLearn Health Syst, 2019, 3 (4), pp. e10189 - ?en_US
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 and LHS 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.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. Conclusions: 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.en_US
dc.format.extente10189 - ?en_US
dc.languageengen_US
dc.rights© 2019 The Authors. Learning Health Systems published by Wiley Periodicals, Inc. on behalf of the University of Michigan. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en_US
dc.subjectelectronic health recordsen_US
dc.subjectlearning health care systemsen_US
dc.subjectlearning health systemsen_US
dc.titleA framework for analysing learning health systems: Are we removing the most impactful barriers?en_US
dc.typeJournal Article
dc.citation.volume3en_US
dc.identifier.doi10.1002/lrh2.10189en_US
dc.identifier.elements-id422122
dc.relation.isPartOfLearn Health Systen_US
dc.citation.issue4en_US
dc.identifier.eissn2379-6146en_US
dc.description.publication-statusPublished onlineen_US
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/College of Sciences
pubs.organisational-group/Massey University/College of Sciences/Institute of Fundamental Sciences
dc.identifier.harvestedMassey_Dark
pubs.notesNot knownen_US


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