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BMC Med. 2017 Oct 2;15(1):177. doi: 10.1186/s12916-017-0935-0.

Can learning health systems help organisations deliver personalised care?

Author information

1
Krefting Research Centre, Department of Internal Medicine, University of Gothenburg, Gothenburg, Sweden.
2
Wallenberg Centre for Molecular and Translational Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.
3
Asthma UK Centre for Applied Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
4
Department of Learning Health Sciences, University of Michigan, Ann Arbor, MI, USA.
5
Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, MA, USA.
6
Krefting Research Centre, Department of Internal Medicine, University of Gothenburg, Gothenburg, Sweden. aziz.sheikh@ed.ac.uk.
7
Brigham and Women's Hospital/Harvard Medical School, Boston, MA, USA. aziz.sheikh@ed.ac.uk.
8
Asthma UK Centre for Applied Research, Centre for Medical Informatics, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, UK. aziz.sheikh@ed.ac.uk.

Abstract

There is increasing international policy and clinical interest in developing learning health systems and delivering precision medicine, which it is hoped will help reduce variation in the quality and safety of care, improve efficiency, and lead to increasing the personalisation of healthcare. Although reliant on similar policies, informatics tools, and data science and implementation research capabilities, these two major initiatives have thus far largely progressed in parallel. In this opinion piece, we argue that they should be considered as complementary, synergistic initiatives whereby the creation of learning health systems infrastructure can support and catalyse the delivery of precision medicine that maximises the benefits and minimises the risks associated with treatments for individual patients. We illustrate this synergy by considering the example of treatments for asthma, which is now recognised as an umbrella term for a heterogeneous group of related conditions.

KEYWORDS:

Asthma; Learning health system; P4 medicine; Personalised medicine; Precision medicine; Stratified medicine

PMID:
28965492
PMCID:
PMC5623976
DOI:
10.1186/s12916-017-0935-0
[Indexed for MEDLINE]
Free PMC Article

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