Title :
Architectural and data model of clinical decision support system for managing asthma in school-aged children
Author :
Aleksovska-Stojkovska, Liljana ; Loskovska, Suzana
Abstract :
This paper presents the architecture and data model of a Clinical Decision Support System for managing asthma in school-aged children. The system is based on modular framework, including modules that cover the patient in home, school and healthcare environment to ensure continuous monitoring and control of the patient´s medical conditions. The system has capabilities to learn from the patient´s individual medical data collected on a regular basis and expand its knowledge base, providing in that way a support to the decision making. Such system is expected to significantly improve the management of asthma in school-aged children and allow them to live a near-normal live.
Keywords :
data models; decision making; decision support systems; diseases; health care; knowledge based systems; medical information systems; patient care; patient monitoring; asthma management; clinical decision support system; continuous patient monitoring; data model; decision making; healthcare environment; knowledge base; medical data; modular framework; patient medical conditions; school-aged children; Diseases; Educational institutions; Knowledge based systems; Medical diagnostic imaging; Pediatrics; Asthma; chronic disease; clinical decision support system (CDSS); electronic medical record (EMR); inference engine; knowledge base; peak expiratory flow;
Conference_Titel :
Electro/Information Technology (EIT), 2011 IEEE International Conference on
Conference_Location :
Mankato, MN
Print_ISBN :
978-1-61284-465-7
DOI :
10.1109/EIT.2011.5978603
