Toward a Learning Ecosystem for Diagnostic Excellence

Abstract

Diagnostic excellence is a Grand Challenge Problem requiring a comprehensive and coordinated approach, such as those demonstrated in the characteristics of learning health systems (LHSs). To appreciate a vision for how the LHS can promote diagnostic excellence in medicine, we interviewed 32 experts focused on diagnostic excellence (n=18), machine learning (ML) and artificial intelligence (AI) in healthcare (n=6), and LHSs (n=8). We report on barriers and facilitators within their respective fields and in potential collaborations, then use their insights to envision a learning ecosystem that advances diagnostic excellence with the support of methods associated with LHSs, and ML/AI. This learning ecosystem will use complementary perspectives to foster continuous, ongoing learning at an economy of scale and scope, through shared use of common social and technical infrastructure.