Over the past decade, electronic health records (EHRs) have become a primary vehicle for care delivery innovation. One important way that EHRs support this is through clinical decision support (CDS), which efficiently collects, analyzes, and presents digital data to clinical teams to support their care decisions. Done well, CDS can greatly enhance personalization, efficiency, and effectiveness of care delivery. However, CDS has yet to realize its potential. Indeed, clinicians have ignored up to 93% of CDS alerts and are frustrated by excessive rates of false-positive reminders.1 As a result, only two-thirds of CDS are associated with any measurable change in care, and those that do primarily affect process, rather than outcome, measures.2