Title: Building a smart rehabilitation delivery platform with hybrid matching algorithm based on long-term care plan in Taiwan

Authors: Lun-Ping Hung; Chien-Liang Chen; Ruay-Shiung Chang; Yu-Chen Hsu

Addresses: Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan ' Department of Innovative Living Design, Overseas Chinese University, Taichung, Taiwan ' Institute of Information and Decision Sciences, National Taipei University of Business, Taipei, Taiwan ' Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan

Abstract: The smart rehabilitation care is to use information and communication technology to apply innovative services on patient care activities. In Taiwan, to solve the over lacking problem of rehabilitation treatment service for long-term care patient in general hospitals, the rehabilitation service delivery method has moved from centralised hospital-based treatment to decentralised community- or home-based rehabilitation. Therefore, community- or home-based long-term care patient has created huge amount of needs for rehabilitation service. To create a more efficient and friendly health care service model, this study uses a hybrid matching algorithm to construct a community and home-based smart rehabilitation service mechanism that allows both therapists and patients to find the most suitable service by setting up the matching parameters. This mechanism records rehabilitation activity, user's feedback, and suggestions from rehabilitation practitioners and can provide information to health units for follow-up treatment recommendation to achieve the goal of optimising long-term care service quality.

Keywords: Gale-Shapley algorithm; home rehabilitation; long-term care; matching algorithm; decentralised health services.

DOI: 10.1504/IJAHUC.2021.115828

International Journal of Ad Hoc and Ubiquitous Computing, 2021 Vol.37 No.2, pp.85 - 97

Received: 08 Dec 2020
Accepted: 23 Dec 2020

Published online: 22 Jun 2021 *

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