DocumentCode :
1662090
Title :
Clinical Decision Support Service for elderly people in smart home environment
Author :
Hussain, Mutawarra ; Afzal, Mehreen ; Khan, Wajahat Ali ; Sungyoung Lee
Author_Institution :
Dept. of Comput. Eng., Kyung Hee Univ., Suwon, South Korea
fYear :
2012
Firstpage :
678
Lastpage :
683
Abstract :
With the advent of smart technologies potential ideas have been emerged to facilitate human lives. Based on sensor technologies, smart homes concept is prevailing now a days that intends to bring tremendous changes in human lifestyle. The most prominent application is to equip the smart home with monitoring system that facilitate in managing care for elderly people. Elderly people with chronic disease need continuous care for managing their activities specially medications. The cost is increasing on care of elderly people and often needs sparing of family resource to take care during management of their activities and medications. This paper propose idea of Clinical Decision Support Service (CDSS) that provides guidelines and recommendation based on observed activities of patient. Our proposed CDSS service called Smart CDSS is deployed on platform that support various sensors and emotion recognition applications. The Smart CDSS knowledge base is currently supporting diabetes rules extracted from online resources and validated against recommendation from physician for 100 patients during their visits to local hospital. The Smart CDSS service allow interaction through standard base interfaces following HL7 vMR standard that allow seamless integration to underlying platform. Moreover, HL7 Arden Syntax is incorporated to scale up knowledge base for other diseases and allows sharing of clinician knowledge.
Keywords :
decision support systems; diseases; emotion recognition; handicapped aids; hospitals; knowledge based systems; patient monitoring; HL7 Arden Syntax; HL7 vMR standard; chronic disease; clinical decision support service; clinician knowledge; continuous care; elderly people; emotion recognition applications; human lifestyle; local hospital; medications; monitoring system; patient activities; sensor technologies; smart CDSS knowledge base; smart home environment; smart technologies; Business; Diabetes; Guidelines; Knowledge based systems; Smart homes; Standards;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-1871-6
Electronic_ISBN :
978-1-4673-1870-9
Type :
conf
DOI :
10.1109/ICARCV.2012.6485239
Filename :
6485239
Link To Document :
بازگشت