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Recommendations service for chronic disease patient in multimodel sensors home environment

Citation

Hussain, M and Ali, T and Khan, WA and Afzal, M and Lee, S and Latif, K, Recommendations service for chronic disease patient in multimodel sensors home environment, Telemedicine Journal and e-Health, 21, (3) pp. 185-199. ISSN 1530-5627 (2015) [Refereed Article]

Copyright Statement

Copyright 2015 Mary Ann Liebert, Inc.

DOI: doi:10.1089/tmj.2014.0028

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 patientsí 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 (SC3 ). SC3 services were limited to monitoring ADL of elderly people with Alzheimerís disease and providing nonmedication 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 SC3 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 patientís 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 patientís symptoms.

Item Details

Item Type:Refereed Article
Keywords:medication recommendation, clinical decision support system, home health monitoring, dementia, telemedicine
Research Division:Information and Computing Sciences
Research Group:Distributed Computing
Research Field:Web Technologies (excl. Web Search)
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Information Processing Services (incl. Data Entry and Capture)
UTAS Author:Lee, S (Professor Sungyoung Lee)
ID Code:122922
Year Published:2015
Web of Science® Times Cited:6
Deposited By:Information and Communication Technology
Deposited On:2017-12-06
Last Modified:2018-03-27
Downloads:0

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