Nudging within learning health systems: next generation decision support to improve cardiovascular care.

ABSTRACT: The increasing volume and richness of healthcare data collected during routine clinical practice have not yet translated into significant numbers of actionable insights that have systematically improved patient outcomes. An evidence-practice gap continues to exist in healthcare. We contest that this gap can be reduced by assessing the use of nudge theory as part of clinical decision support systems (CDSS). Deploying nudges to modify clinician behaviour and improve adherence to guideline-directed therapy represents an underused tool in bridging the evidence-practice gap. In conjunction with electronic health records (EHRs) and newer devices including artificial intelligence algorithms that are increasingly integrated within learning health systems, nudges such as CDSS alerts should be itera

SUBMITTER: Chen Y 

PROVIDER: S-EPMC8971005 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature