Understanding the roles of three academic communities in a prospective learning health ecosystem for diagnostic excellence.

ABSTRACT: Inaccurate, untimely, and miscommunicated medical diagnoses represent a wicked problem requiring comprehensive and coordinated approaches, such as those demonstrated in the characteristics of learning health systems (LHSs). To appreciate a vision for how LHS methods can optimize processes and outcomes in medical diagnosis (diagnostic excellence), we interviewed 32 individuals with relevant expertise: 18 who have studied diagnostic processes using traditional behavioral science and health services research methods, six focused on machine learning (ML) and artificial intelligence (AI) approaches, and eight multidisciplinary researchers experienced in advocating for and incorporating LHS methods, ie, scalable continuous learning in health care. We report on barriers and facilitators, identifi

SUBMITTER: Satterfield K 

PROVIDER: S-EPMC6971119 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature