Recommendations service for chronic disease patient in multimodel sensors home environment.

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.
AuthorsMaqbool Hussain, Taqdir Ali, Wajahat Ali Khan, Muhammad Afzal, Sungyoung Lee, Khalid Latif
JournalTelemedicine journal and e-health : the official journal of the American Telemedicine Association (Telemed J E Health) Vol. 21 Issue 3 Pg. 185-99 (Mar 2015) ISSN: 1556-3669 [Electronic] United States
PMID25559934 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)

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