Accuracy and Performance Evaluation of a Laboratory Results Alerting

This study was designed to evaluate the accuracy and performance of clinical decision support (CDS) architecture which consisted of a knowledge engine and data interface adaptor (DIA) developed as knowledge sharing tools. A laboratory alerting system was selected for the test field and 10 rules represented by SAGE formalism were used. Laboratory results (N=323,455) captured from a tertiary and teaching hospital over three months were retrospectively evaluated. We were able to confirm accuracy, stability, and feasibility of the CDS application architecture and the knowledge engine. However, DIA throughput time suggested the need for further improvements.