DocumentCode :
1671005
Title :
Graphical knowledge-based protocols for chest pain management
Author :
Ali, S. ; Chia, P. ; Ong, K.
Author_Institution :
Nat. Univ. of Singapore, Singapore
fYear :
1999
fDate :
6/21/1905 12:00:00 AM
Firstpage :
309
Lastpage :
312
Abstract :
We present an automated delivery system for clinical guidelines (DSCG) that assists clinicians in diagnosing and treating patients with chest pain in the emergency department. Guidelines are adaptively selected from a knowledge base server that has a library of clinically defined, graphical guidelines. As one of the components of a hospital information system architecture that we are developing, the DSCG system is positioned to improve diagnostic efficiency. The system receives patient data, such as complaints and test results, and matches these data with eligibility criteria. It recommends optimal treatment plans and investigations based on the most probable diagnosis. Clinicians may either use the suggestions as a reference or activate a selection to monitor the patient´s condition during the treatment using an intelligent agent. The system is also being considered for use in medical education
Keywords :
cardiology; deductive databases; graphical user interfaces; knowledge acquisition; medical diagnostic computing; medical expert systems; software agents; Prolog-based engine; automated delivery system; chest pain management; clinical guidelines; diagnostic efficiency; domain ontology; eligibility criteria; emergency department care; graphical knowledge-based protocols; hospital information system architecture; inference engine; intelligent agent; knowledge acquisition; knowledge base server; knowledge database; most probable diagnosis; multimedia user interface; myocardial infarction; optimal treatment plans; secure WWW server; user interface; Disaster management; Guidelines; Hospitals; Information systems; Knowledge management; Libraries; Medical treatment; Pain; Protocols; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology, 1999
Conference_Location :
Hannover
ISSN :
0276-6547
Print_ISBN :
0-7803-5614-4
Type :
conf
DOI :
10.1109/CIC.1999.825968
Filename :
825968
Link To Document :
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