• Bright I Nwaru, Charles Friedman, John Halamka, and Aziz Sheikh.
• Krefting Research Centre, Department of Internal Medicine, University of Gothenburg, Gothenburg, Sweden.
• Bmc Med. 2017 Oct 2; 15 (1): 177177.

AbstractThere 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.

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