DocumentCode :
2497882
Title :
iSyNCC: An intelligent system for patient monitoring & clinical decision support in Neuro-Critical-Care
Author :
Feng, Mengling ; Zhang, Zhuo ; Zhang, Feng ; Ge, Yu ; Loy, Liang Yu ; Vellaisamy, Kuralmani ; Guo, Wenyuan ; Chin, Pei Loon ; King, Nicolas Kon Kam ; Ang, Beng Ti ; Guan, Cuntai
Author_Institution :
Inst. for Infocomm Res. (I2R), Agency for Sci., Technol. & Res. (A*STAR), Singapore, Singapore
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
6426
Lastpage :
6429
Abstract :
Close monitoring and timely treatment are extremely crucial in Neuro Intensive/Critical Care Units (NICUs) to prevent patients from secondary brain damages. However, the current clinical practice is labor-intensive, prone to human errors and ineffective. To address this, we developed an integrated and intelligent system, namely iSyNCC, to enhance the effectiveness of patient monitoring and clinical decision makings in NICUs. The requirements of the system were investigated through interviews and discussions with neurosurgeons, neuroclinicians and nurses. Based on the summarized requirements, a modular 2-tier system is developed. iSyNCC integrates and stores crucial patient information ranging from demographic details, clinical & treatment records to continuous physiological monitoring data. iSyNCC enables remote and centralized patient monitoring and provides computational intelligence to facilitate clinical decision makings.
Keywords :
artificial intelligence; data handling; decision making; decision support systems; expert systems; medical computing; neurophysiology; patient care; patient monitoring; NICU; centralized patient monitoring; clinical decision making; clinical decision support; clinical records; computational intelligence; continuous physiological monitoring data; demographic details; iSyNCC; integrated system; intelligent system; neurocritical care units; neurointensive care units; patient information; remote patient monitoring; secondary brain damage; treatment records; Biomedical monitoring; Databases; Forecasting; Iterative closest point algorithm; Patient monitoring; Servers; Automatic Data Processing; Computer Communication Networks; Computer Graphics; Computer Systems; Computers; Critical Care; Decision Support Systems, Clinical; Equipment Design; Humans; Intensive Care; Intensive Care Units; Medical Records Systems, Computerized; Monitoring, Physiologic; Neurology; Software; User-Computer Interface; Wireless Technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6091586
Filename :
6091586
Link To Document :
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