Clinical validity of alerts generated by the CareEngine Claims-Driven Decision Support Engine. Academic Article uri icon

Overview

MeSH Major

  • Decision Support Systems, Clinical
  • Insurance Claim Review
  • Medical Errors
  • Medical Records Systems, Computerized

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.

publication date

  • December 2008

Research

keywords

  • Academic Article

Identity

Language

  • eng

PubMed ID

  • 18999070

Additional Document Info

start page

  • 1171