title: Effectiveness of automatic acute stroke alert system based on UMLS mapped local terminology codes at emergency department.
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.
authors.affiliation: Depart. of Emergency Medicine, Univ. of Ulsan College of Medicine, Seoul, Korea.
authors.forename: Jae Ho
authors.initials: JH
authors.lastname: Lee
authors.forename: Bum Jin
authors.initials: BJ
authors.lastname: Oh
authors.forename: Ji Yun
authors.initials: JY
authors.lastname: Ahn
authors.forename: Sang Wook
authors.initials: SW
authors.lastname: Lee
authors.forename: Young Ha
authors.initials: YH
authors.lastname: Lee
authors.forename: Sung Woo
authors.initials: SW
authors.lastname: Min
authors.forename: Won
authors.initials: W
authors.lastname: Kim
authors.forename: Kyoung Soo
authors.initials: KS
authors.lastname: Lim
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004636:Emergency Service, Hospital / Q000458:organization & administration*; D006801:Humans; D007723:Korea; D008487:Medical History Taking / Q000379:methods*; D016347:Medical Records Systems, Computerized / Q000458:organization & administration*; D009323:Natural Language Processing; D010363:Pattern Recognition, Automated / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D020521:Stroke / Q000145:classification / Q000175:diagnosis*; D009626:Terminology as Topic; D017432:Unified Medical Language System