Learning together for better health using an evidence-based Learning Health System framework: a case study in stroke.
Teede, H
Cadilhac, DA
Purvis, T
Kilkenny, MF
Campbell, BCV
English, C
Johnson, A
Callander, E
Grimley, RS
Levi, C
Middleton, S
Hill, K
Enticott, J
- Publisher:
- BMC
- Publication Type:
- Journal Article
- Citation:
- BMC Med, 2024, 22, (1), pp. 198
- Issue Date:
- 2024-05-15
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Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Teede, H | |
dc.contributor.author | Cadilhac, DA | |
dc.contributor.author | Purvis, T | |
dc.contributor.author | Kilkenny, MF | |
dc.contributor.author | Campbell, BCV | |
dc.contributor.author | English, C | |
dc.contributor.author | Johnson, A | |
dc.contributor.author |
Callander, E https://orcid.org/0000-0001-7233-6804 |
|
dc.contributor.author | Grimley, RS | |
dc.contributor.author | Levi, C | |
dc.contributor.author | Middleton, S | |
dc.contributor.author | Hill, K | |
dc.contributor.author | Enticott, J | |
dc.date.accessioned | 2024-08-01T04:38:54Z | |
dc.date.available | 2024-04-30 | |
dc.date.available | 2024-08-01T04:38:54Z | |
dc.date.issued | 2024-05-15 | |
dc.identifier.citation | BMC Med, 2024, 22, (1), pp. 198 | |
dc.identifier.issn | 1741-7015 | |
dc.identifier.issn | 1741-7015 | |
dc.identifier.uri | http://hdl.handle.net/10453/179950 | |
dc.description.abstract | BACKGROUND: In the context of expanding digital health tools, the health system is ready for Learning Health System (LHS) models. These models, with proper governance and stakeholder engagement, enable the integration of digital infrastructure to provide feedback to all relevant parties including clinicians and consumers on performance against best practice standards, as well as fostering innovation and aligning healthcare with patient needs. The LHS literature primarily includes opinion or consensus-based frameworks and lacks validation or evidence of benefit. Our aim was to outline a rigorously codesigned, evidence-based LHS framework and present a national case study of an LHS-aligned national stroke program that has delivered clinical benefit. MAIN TEXT: Current core components of a LHS involve capturing evidence from communities and stakeholders (quadrant 1), integrating evidence from research findings (quadrant 2), leveraging evidence from data and practice (quadrant 3), and generating evidence from implementation (quadrant 4) for iterative system-level improvement. The Australian Stroke program was selected as the case study as it provides an exemplar of how an iterative LHS works in practice at a national level encompassing and integrating evidence from all four LHS quadrants. Using this case study, we demonstrate how to apply evidence-based processes to healthcare improvement and embed real-world research for optimising healthcare improvement. We emphasize the transition from research as an endpoint, to research as an enabler and a solution for impact in healthcare improvement. CONCLUSIONS: The Australian Stroke program has nationally improved stroke care since 2007, showcasing the value of integrated LHS-aligned approaches for tangible impact on outcomes. This LHS case study is a practical example for other health conditions and settings to follow suit. | |
dc.format | Electronic | |
dc.language | eng | |
dc.publisher | BMC | |
dc.relation.ispartof | BMC Med | |
dc.relation.isbasedon | 10.1186/s12916-024-03416-w | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | 11 Medical and Health Sciences | |
dc.subject.classification | General & Internal Medicine | |
dc.subject.classification | 32 Biomedical and clinical sciences | |
dc.subject.classification | 42 Health sciences | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Learning Health System | |
dc.subject.mesh | Stroke | |
dc.subject.mesh | Australia | |
dc.subject.mesh | Evidence-Based Medicine | |
dc.subject.mesh | Evidence-Based Practice | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Evidence-Based Medicine | |
dc.subject.mesh | Australia | |
dc.subject.mesh | Stroke | |
dc.subject.mesh | Evidence-Based Practice | |
dc.subject.mesh | Learning Health System | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Learning Health System | |
dc.subject.mesh | Stroke | |
dc.subject.mesh | Australia | |
dc.subject.mesh | Evidence-Based Medicine | |
dc.subject.mesh | Evidence-Based Practice | |
dc.title | Learning together for better health using an evidence-based Learning Health System framework: a case study in stroke. | |
dc.type | Journal Article | |
utslib.citation.volume | 22 | |
utslib.location.activity | England | |
utslib.for | 11 Medical and Health Sciences | |
pubs.organisational-group | University of Technology Sydney | |
pubs.organisational-group | University of Technology Sydney/Faculty of Health | |
utslib.copyright.status | open_access | * |
dc.rights.license | This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ | |
dc.date.updated | 2024-08-01T04:38:53Z | |
pubs.issue | 1 | |
pubs.publication-status | Published online | |
pubs.volume | 22 | |
utslib.citation.issue | 1 |
Abstract:
BACKGROUND: In the context of expanding digital health tools, the health system is ready for Learning Health System (LHS) models. These models, with proper governance and stakeholder engagement, enable the integration of digital infrastructure to provide feedback to all relevant parties including clinicians and consumers on performance against best practice standards, as well as fostering innovation and aligning healthcare with patient needs. The LHS literature primarily includes opinion or consensus-based frameworks and lacks validation or evidence of benefit. Our aim was to outline a rigorously codesigned, evidence-based LHS framework and present a national case study of an LHS-aligned national stroke program that has delivered clinical benefit. MAIN TEXT: Current core components of a LHS involve capturing evidence from communities and stakeholders (quadrant 1), integrating evidence from research findings (quadrant 2), leveraging evidence from data and practice (quadrant 3), and generating evidence from implementation (quadrant 4) for iterative system-level improvement. The Australian Stroke program was selected as the case study as it provides an exemplar of how an iterative LHS works in practice at a national level encompassing and integrating evidence from all four LHS quadrants. Using this case study, we demonstrate how to apply evidence-based processes to healthcare improvement and embed real-world research for optimising healthcare improvement. We emphasize the transition from research as an endpoint, to research as an enabler and a solution for impact in healthcare improvement. CONCLUSIONS: The Australian Stroke program has nationally improved stroke care since 2007, showcasing the value of integrated LHS-aligned approaches for tangible impact on outcomes. This LHS case study is a practical example for other health conditions and settings to follow suit.
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