title: Clinical validity of alerts generated by the CareEngine Claims-Driven Decision Support Engine.
abstract: Clinical decision support based on administrative data is an important "real-world" challenge. At an academic medical center, we reviewed medical charts to assess the accuracy of 182 clinical alerts generated from administrative claims, pharmacy data, and lab results by a computerized clinical decision support (CDS) system. Overall accuracy was 82%. The primary factor affecting alert accuracy was availability of complete data. Claims-driven CDS may be sufficiently accurate to be a valuable adjunct to quality improvement.
authors.affiliation: Weill-Cornell Medical College, ActiveHealth Management, New York, NY, USA.
authors.forename: Henry G
authors.initials: HG
authors.lastname: Wei
authors.forename: Stephen
authors.initials: S
authors.lastname: Rosenberg
authors.forename: Tatiana
authors.initials: T
authors.lastname: Shnaiden
authors.forename: Jeffrey
authors.initials: J
authors.lastname: Jacques
authors.forename: Gregory
authors.initials: G
authors.lastname: Steinberg
authors.forename: Lonny
authors.initials: L
authors.lastname: Reisman
mesh_terms: D020000:Decision Support Systems, Clinical / Q000706:statistics & numerical data*; D007345:Insurance Claim Review / Q000706:statistics & numerical data*; D019300:Medical Errors / Q000517:prevention & control* / Q000706:statistics & numerical data*; D016347:Medical Records Systems, Computerized / Q000706:statistics & numerical data*; D009518:New York; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity