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A Learning Health System Framework to Operationalize Health Data to Improve Quality Care: An Australian Perspective

Our healthcare system faces a burgeoning aging population, rising complexity, and escalating costs. Around 10% of healthcare is harmful, and evidence is slow to implement. Innovation to deliver quality and sustainable health systems is vital, and the methods are challenging. The aim of this study is...

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Autores principales: Enticott, Joanne C., Melder, Angela, Johnson, Alison, Jones, Angela, Shaw, Tim, Keech, Wendy, Buttery, Jim, Teede, Helena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580135/
https://www.ncbi.nlm.nih.gov/pubmed/34778291
http://dx.doi.org/10.3389/fmed.2021.730021
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author Enticott, Joanne C.
Melder, Angela
Johnson, Alison
Jones, Angela
Shaw, Tim
Keech, Wendy
Buttery, Jim
Teede, Helena
author_facet Enticott, Joanne C.
Melder, Angela
Johnson, Alison
Jones, Angela
Shaw, Tim
Keech, Wendy
Buttery, Jim
Teede, Helena
author_sort Enticott, Joanne C.
collection PubMed
description Our healthcare system faces a burgeoning aging population, rising complexity, and escalating costs. Around 10% of healthcare is harmful, and evidence is slow to implement. Innovation to deliver quality and sustainable health systems is vital, and the methods are challenging. The aim of this study is to describe the process and present a perspective on a coproduced Learning Health System framework. The development of the Framework was led by publicly funded, collaborative, Academic Health Research Translation Centres, with a mandate to integrate research into healthcare to deliver impact. The focus of the framework is “learning together for better health,” with coproduction involving leadership by an expert panel, a systematic review, qualitative research, a stakeholder workshop, and iterative online feedback. The coproduced framework incorporates evidence from stakeholders, from research, from data (practice to data and data to new knowledge), and from implementation, to take new knowledge to practice. This continuous learning approach aims to deliver evidence-based healthcare improvement and is currently being implemented and evaluated.
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spelling pubmed-85801352021-11-11 A Learning Health System Framework to Operationalize Health Data to Improve Quality Care: An Australian Perspective Enticott, Joanne C. Melder, Angela Johnson, Alison Jones, Angela Shaw, Tim Keech, Wendy Buttery, Jim Teede, Helena Front Med (Lausanne) Medicine Our healthcare system faces a burgeoning aging population, rising complexity, and escalating costs. Around 10% of healthcare is harmful, and evidence is slow to implement. Innovation to deliver quality and sustainable health systems is vital, and the methods are challenging. The aim of this study is to describe the process and present a perspective on a coproduced Learning Health System framework. The development of the Framework was led by publicly funded, collaborative, Academic Health Research Translation Centres, with a mandate to integrate research into healthcare to deliver impact. The focus of the framework is “learning together for better health,” with coproduction involving leadership by an expert panel, a systematic review, qualitative research, a stakeholder workshop, and iterative online feedback. The coproduced framework incorporates evidence from stakeholders, from research, from data (practice to data and data to new knowledge), and from implementation, to take new knowledge to practice. This continuous learning approach aims to deliver evidence-based healthcare improvement and is currently being implemented and evaluated. Frontiers Media S.A. 2021-10-27 /pmc/articles/PMC8580135/ /pubmed/34778291 http://dx.doi.org/10.3389/fmed.2021.730021 Text en Copyright © 2021 Enticott, Melder, Johnson, Jones, Shaw, Keech, Buttery and Teede. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Enticott, Joanne C.
Melder, Angela
Johnson, Alison
Jones, Angela
Shaw, Tim
Keech, Wendy
Buttery, Jim
Teede, Helena
A Learning Health System Framework to Operationalize Health Data to Improve Quality Care: An Australian Perspective
title A Learning Health System Framework to Operationalize Health Data to Improve Quality Care: An Australian Perspective
title_full A Learning Health System Framework to Operationalize Health Data to Improve Quality Care: An Australian Perspective
title_fullStr A Learning Health System Framework to Operationalize Health Data to Improve Quality Care: An Australian Perspective
title_full_unstemmed A Learning Health System Framework to Operationalize Health Data to Improve Quality Care: An Australian Perspective
title_short A Learning Health System Framework to Operationalize Health Data to Improve Quality Care: An Australian Perspective
title_sort learning health system framework to operationalize health data to improve quality care: an australian perspective
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580135/
https://www.ncbi.nlm.nih.gov/pubmed/34778291
http://dx.doi.org/10.3389/fmed.2021.730021
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