Impact of the Performance Gap Between Interactive Alerts and Quality Metrics.

Interactive alerts are used to enhance compliance with primary prevention and have been shown to improve quality metrics. However, the degree of impact of these alerts is controversial and there is concern with excessive alerting. Our objective is to develop reliable processes to assess the direct impact of interactive alerts on clinical performance.

Automated Diabetes Case Identification Using Electronic Health Record Data at a Tertiary Care Facility.

Objective: To develop and validate a phenotyping algorithm for the identification of patients with type 1 and type 2 diabetes mellitus (DM) preoperatively using routinely available clinical data from electronic health records.

Patients And Methods: We used first-order logic rules (if-then-else rules) to imply the presence or absence of DM types 1 and 2. The "if" clause of each rule is a conjunction of logical predicates that provides evidence toward or against the presence of DM.