Accuracy and Performance Evaluation of a Laboratory Results Alerting

被引：0

作者：

Cho, InSook ^{[1
]}

Kim, JeongAh ^{[2
]}

Kim, Ji-Hyeun ^{[1
]}

Ha, Kyu Seob ^{[3
]}

Kim, Yoon ^{[4
,5
]}

机构：

[1] Inha Univ, Seoul, South Korea

[2] Kwandong Univ, Kangnung, South Korea

[3] Seoul Natl Univ, Bundang Hosp, Seoul, South Korea

[4] Seoul Natl Univ, Seoul, South Korea

[5] Seoul Natl Univ, Inst Hlth Policy & Management, Seoul, South Korea

来源：

SECURITY-ENRICHED URBAN COMPUTING AND SMART GRID | 2010年 / 78卷

关键词：

Clinical Decision Support System; quality evaluation; GUIDELINES; AUTOMATION; SYSTEM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：532 / +

页数：3

共 17 条

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