Open AccessDesign of Care Decision Support System Based on Home-Based Behavior of Elderly: A Design Science Study
Author(s) -
Dong Kong,
Yanli Wang,
Kai Sun
Publication year - 2022
Publication title -
sage open
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.357
H-Index - 32
ISSN - 2158-2440
DOI - 10.1177/21582440221086606
Subject(s) - decision support system , multivariate analysis , baseline (sea) , health care , elderly care , the internet , psychology , computer science , applied psychology , knowledge management , nursing , medicine , artificial intelligence , machine learning , world wide web , oceanography , economic growth , economics , geology
With the development of Information Technology and Internet of Things, using unobtrusive sensors to monitor the home-based behavior of the elderly, and assisting the care givers to make care decisions based on this data plays an important role in ensuring the health and safety of the elderly living alone. Adopting the Design Science Approach, this study designs, implements, and evaluates a care decision support system based on home-based behavior of elderly. This system preprocesses the behavior data collected by sensors and divides it into Instantaneous Behavior data and Continuous Behavior data. Adopting Multivariate Gaussian Model and Topic Model, this system automatically provides the visualized results of overall analysis, baseline analysis, and long-term analysis. It can assist caregivers in finding early signs threatening elderly’s health and safety, and making care decisions. Three caregivers with more than 1-year relevant experience participates in the evaluation, and the results indicate that the system designed in this paper has more support effectiveness. This system provides a more effective tool of supporting caregivers making decisions for elderly living alone.