title: Recommendations service for chronic disease patient in multimodel sensors home environment.
abstract: With advanced technologies in hand, there exist potential applications and services built around monitoring activities of daily living (ADL) of elderly people at nursing homes. Most of the elderly people in these facilities are suffering from different chronic diseases such as dementia. Existing technologies are mainly focusing on non-medication interventions and monitoring of ADL for addressing loss of autonomy or well-being. Monitoring and managing ADL related to cognitive behaviors for non-medication intervention are very effective in improving dementia patients' conditions. However, cognitive functions of patients can be improved if appropriate recommendations of medications are delivered at a particular time. Previously we developed the Secured Wireless Sensor Network Integrated Cloud Computing for Ubiquitous-Life Care (SC(3)). SC(3) services were limited to monitoring ADL of elderly people with Alzheimer's disease and providing non-medication recommendations to the patient. In this article, we propose a system called the Smart Clinical Decision Support System (CDSS) as an integral part of the SC(3) platform. Using the Smart CDSS, patients are provided with access to medication recommendations of expert physicians. Physicians are provided with an interface to create clinical knowledge for medication recommendations and to observe the patient's condition. The clinical knowledge created by physicians as the knowledge base of the Smart CDSS produces recommendations to the caregiver for medications based on each patient's symptoms.
authors.affiliation: 1 Department of Computer Engineering, Kyung Hee University , Yongin-si, Gyeonggi-do, Republic of Korea.
authors.forename: Maqbool
authors.initials: M
authors.lastname: Hussain
authors.forename: Taqdir
authors.initials: T
authors.lastname: Ali
authors.forename: Wajahat Ali
authors.initials: WA
authors.lastname: Khan
authors.forename: Muhammad
authors.initials: M
authors.lastname: Afzal
authors.forename: Sungyoung
authors.initials: S
authors.lastname: Lee
authors.forename: Khalid
authors.initials: K
authors.lastname: Latif
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D017028:Caregivers / Q000706:statistics & numerical data; D002908:Chronic Disease; D000067917:Cloud Computing / Q000706:statistics & numerical data; D020000:Decision Support Systems, Clinical / Q000295:instrumentation*; D003704:Dementia / Q000175:diagnosis / Q000534:rehabilitation*; D005260:Female; D015577:Geriatric Assessment / Q000379:methods; D006699:Home Care Services / Q000458:organization & administration; D006701:Home Nursing / Q000379:methods; D006801:Humans; D008297:Male; D017063:Outcome Assessment, Health Care; D061214:Patient Safety; D017410:Practice Guidelines as Topic; D056910:Republic of Korea; D000069350:Telerehabilitation / Q000295:instrumentation* / Q000379:methods
keywords: clinical decision support system; dementia; home health monitoring; medication recommendation; telemedicine