The prototype of a frailty learning health system: The HARMONY Model

Parker, KJ; Hickman, LD; McDonagh, J; Lindley, RI; Ferguson, C

The prototype of a frailty learning health system: The HARMONY Model

Parker, KJ Hickman, LD McDonagh, J Lindley, RI Ferguson, C

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Publisher:: Wiley
Publication Type:: Journal Article
Citation:: Learning Health Systems

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Field	Value	Language
dc.contributor.author	Parker, KJ
dc.contributor.author	Hickman, LD
dc.contributor.author	McDonagh, J
dc.contributor.author	Lindley, RI
dc.contributor.author	Ferguson, C
dc.date.accessioned	2024-01-05T00:43:21Z
dc.date.available	2024-01-05T00:43:21Z
dc.identifier.citation	Learning Health Systems
dc.identifier.issn	2379-6146
dc.identifier.issn	2379-6146
dc.identifier.uri	http://hdl.handle.net/10453/174025
dc.description.abstract	<jats:title>Abstract</jats:title><jats:sec><jats:title>Introduction</jats:title><jats:p>Rapid translation of research findings into clinical practice through innovation is critical to improve health systems and patient outcomes. Access to efficient systems of learning underpinned with real‐time data are the future of healthcare. This type of health system will decrease unwarranted clinical variation, accelerate rapid evidence translation, and improve overall healthcare quality.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>This paper aims to describe The HARMONY model (acHieving dAta‐dRiven quality iMprovement to enhance frailty Outcomes using a learNing health sYstem), a new frailty learning health system model of implementation science and practice improvement. The HARMONY model provides a prototype for clinical quality registry infrastructure and partnership within health care.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>The HARMONY model was applied to the Western Sydney Clinical Frailty Registry as the prototype exemplar. The model networks longitudinal frailty data into an accessible and useable format for learning. Creating local capability that networks current data infrastructures to translate and improve quality of care in real‐time.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>This prototype provides a model of registry data feedback and quality improvement processes in an inpatient aged care and rehabilitation hospital setting to help reduce clinical variation, enhance research translation capacity, and improve care quality.</jats:p></jats:sec>
dc.language	en
dc.publisher	Wiley
dc.relation.ispartof	Learning Health Systems
dc.relation.isbasedon	10.1002/lrh2.10401
dc.rights	info:eu-repo/semantics/openAccess
dc.title	The prototype of a frailty learning health system: The HARMONY Model
dc.type	Journal Article
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Strength - CHSP - Health Services and Practice
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/IMPACCT
utslib.copyright.status	open_access	*
dc.date.updated	2024-01-05T00:43:20Z
pubs.publication-status	Published online

Abstract:

AbstractIntroductionRapid translation of research findings into clinical practice through innovation is critical to improve health systems and patient outcomes. Access to efficient systems of learning underpinned with real‐time data are the future of healthcare. This type of health system will decrease unwarranted clinical variation, accelerate rapid evidence translation, and improve overall healthcare quality.MethodsThis paper aims to describe The HARMONY model (acHieving dAta‐dRiven quality iMprovement to enhance frailty Outcomes using a learNing health sYstem), a new frailty learning health system model of implementation science and practice improvement. The HARMONY model provides a prototype for clinical quality registry infrastructure and partnership within health care.ResultsThe HARMONY model was applied to the Western Sydney Clinical Frailty Registry as the prototype exemplar. The model networks longitudinal frailty data into an accessible and useable format for learning. Creating local capability that networks current data infrastructures to translate and improve quality of care in real‐time.ConclusionThis prototype provides a model of registry data feedback and quality improvement processes in an inpatient aged care and rehabilitation hospital setting to help reduce clinical variation, enhance research translation capacity, and improve care quality.

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http://hdl.handle.net/10453/174025