Effectiveness of automatic acute stroke alert system based on UMLS mapped local terminology codes at emergency department

Jae Ho Lee; Bum Jin Oh; Ji Yun Ahn; Sang Wook Lee; Young Ha Lee; Sung Woo Min; Won Kim; Kyoung Soo Lim

Effectiveness of automatic acute stroke alert system based on UMLS mapped local terminology codes at emergency department

AMIA Annu Symp Proc. 2008 Nov 6:1018.

Authors

Jae Ho Lee¹, Bum Jin Oh, Ji Yun Ahn, Sang Wook Lee, Young Ha Lee, Sung Woo Min, Won Kim, Kyoung Soo Lim

Affiliation

¹ Depart. of Emergency Medicine, Univ. of Ulsan College of Medicine, Seoul, Korea.

PMID: 18998845

Abstract

Acute stroke team activation process is needed to improve acute stroke management at emergency department. Recently automatic acute stroke alert system was developed at Asan Medical Center by using local terminology codes mapped to UMLS codes. The effectiveness of this system was evaluated with the aspect of alert time, contribution to activation, and stroke predictability.

MeSH terms

Algorithms
Artificial Intelligence
Diagnosis, Computer-Assisted / methods*
Emergency Service, Hospital / organization & administration*
Humans
Korea
Medical History Taking / methods*
Medical Records Systems, Computerized / organization & administration*
Natural Language Processing*
Pattern Recognition, Automated / methods
Reproducibility of Results
Sensitivity and Specificity
Stroke / classification
Stroke / diagnosis*
Terminology as Topic*
Unified Medical Language System