Progress toward a science of learning systems for healthcare

In a 2015 JAMIA article, Friedman et al, reporting on the proceedings of a National Science Foundation workshop, called for a “science of learning systems” for healthcare.1 Other articles in JAMIA have explicitly addressed the learning health system,2,3 and many more have addressed specific components of such a system. In this editorial, I highlight 5 articles related to the science of learning systems. Three articles recognize clinician expertise as a key knowledge asset in a learning system and describe ways of mining and supporting clinician expertise within the context of an electronic health record (EHR).4 –6 Two additional articles address critical questions related to institutional knowledge assets, the practical implementation of predictive models in clinician workflow,7 and transportability of phenotype algorithms across settings.8

Source: Journal of the American Medical Informatics Association - June 4, 2021 Category: Information Technology Source Type: research