Building Research Infrastructure to Develop Greater Learning Efficiencies (BRIDGE)

Author:

Elbers Danne C.12ORCID,Fillmore Nathanael R.12,La Jennifer1ORCID,Tosi Hannah M.1,Ajjarapu Samuel12ORCID,Dhond Rupali13,Murray Karen1,Valley Danielle1,Shannon Colleen1,Brophy Mary T.13,Do Nhan V.13ORCID

Affiliation:

1. VA Boston Healthcare System, Boston MA, USA

2. Harvard Medical School, Boston MA, USA

3. Boston University School of Medicine, Boston MA, USA

Abstract

In this manuscript, we outline our developed version of a Learning Health System (LHS) in oncology implemented at the Department of Veterans Affairs (VA). Transferring healthcare into an LHS framework has been one of the spearpoints of VA’s Central Office and given the general lack of evidence generated through randomized control clinical trials to guide medical decisions in oncology, this domain is one of the most suitable for this change. We describe our technical solution, which includes a large real-world data repository, a data science and algorithm development framework, and the mechanism by which results are brought back to the clinic and to the patient. Additionally, we propose the need for a bridging framework that requires collaboration between informatics specialists and medical professionals to integrate knowledge generation into the clinical workflow at the point of care.

Publisher

IOS Press

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