Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions.

ABSTRACT: Clinical decision-making is based on knowledge, expertise, and authority, with clinicians approving almost every intervention-the starting point for delivery of "All the right care, but only the right care," an unachieved healthcare quality improvement goal. Unaided clinicians suffer from human cognitive limitations and biases when decisions are based only on their training, expertise, and experience. Electronic health records (EHRs) could improve healthcare with robust decision-support tools that reduce unwarranted variation of clinician decisions and actions. Current EHRs, focused on results review, documentation, and accounting, are awkward, time-consuming, and contribute to clinician stress and burnout. Decision-support tools could reduce clinician burden and enable replicable clinicia

SUBMITTER: Morris AH 

PROVIDER: S-EPMC8661391 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature