Using a network organisational architecture to support the development of Learning Healthcare Systems. Issue 11 (5th February 2018)

• Record Type: Journal Article
• Authors: Britto, Maria T; Fuller, Sandra C; Kaplan, Heather C; Kotagal, Uma; Lannon, Carole; Margolis, Peter A; Muething, Stephen E; Schoettker, Pamela J; Seid, Michael
• Is Part Of: BMJ quality & safety. Volume 27:Issue 11(2018)
• Page Start: 937
• Page End: 946
• Publication Date: 2018-02-05
• Subjects: communication -- continuous quality improvement -- control charts, run charts -- healthcare quality improvement -- teams; Medical care -- Quality control -- Periodicals; Health facilities -- Risk management -- Periodicals; Medical errors -- Prevention -- Periodicals; 362.106805
• DOI: 10.1136/bmjqs-2017-007219
• Languages: English
• ISSNs: 2044-5415

Abstract

Abstract : The US National Academy of Sciences has called for the development of a Learning Healthcare System in which patients and clinicians work together to choose care, based on best evidence, and to drive discovery as a natural outgrowth of every clinical encounter to ensure innovation, quality and value at the point of care. However, the vision of a Learning Healthcare System has remained largely aspirational. Over the last 13 years, researchers, clinicians and families, with support from our paediatric medical centre, have designed, developed and implemented a network organisational model to achieve the Learning Healthcare System vision. The network framework aligns participants around a common goal of improving health outcomes, transparency of outcome measures and a flexible and adaptive collaborative learning system. Team collaboration is promoted by using standardised processes, protocols and policies, including communication policies, data sharing, privacy protection and regulatory compliance. Learning methods include collaborative quality improvement using a modified Breakthrough Series approach and statistical process control methods. Participants observe their own results and learn from the experience of others. A common repository (a 'commons') is used to share resources that are created by participants. Standardised technology approaches reduce the burden of data entry, facilitate care and result in data useful for research and learning. We describe how this organisational framework has been replicated in four conditions, resulting in substantial improvements in outcomes, at scale across a variety of conditions.