Abstract
With the ageing population all over the world, long-term care services, such as nursing care, are essential to provide care and treatments to elderly patients in the community. During the nursing care services, elderly patients who live in the nursing homes require to be treated and consulted in a number of healthcare organisations, for example hospitals, mental health centres and rehabilitation centres. Currently, the data management for the elderly is relatively centralised to establish their own electronic medical records and protected health information without decision support functionalities. The community and healthcare industry are eager to develop a safe and comprehensive system to provide adequate healthcare services and monitoring to the elderly. In this study, an internet of healthcare things (IoHT)-based care link system (IoHT-CLS) is proposed, which provides a structured framework on integrating IoHT and artificial intelligence (AI) to generate a one-stop solution for managing elderly’s healthcare facilities. The elderly can be effectively linked into the integrated IoHT system by using various sensing and data collection technologies. The collected data are further processed by means of the adaptive neuro-fuzzy inference system and case-based reasoning to provide the functionalities of risk management and customised elderly service programmes for the elderly care institutions. Consequently, this study contributes to the healthcare management through the enhancement of service quality in the community.
Highlights
In the nursing care industry, long-term care services are regarded as the crucial aspect in the social community to provide proper and timely care and treatments
The risk level of falling down for elderly patients can be quantified for caregivers to formulate and distribute adequate measures and remedies to maintain a designated level of quality of care (QoC)
Care plan customisation is achieved by using case-based reasoning (CBR), wherein the new care plans for elderly patients are formulated according to high quality cases stored in the case library
Summary
In the nursing care industry, long-term care services are regarded as the crucial aspect in the social community to provide proper and timely care and treatments. In LTCP 2.0, a three-tier ABC community model is suggested, in which a cluster-tree structure is used to manage integrated community service centre, multiple service centre and longterm care station. Under the cluster-tree structure of the LTCP 2.0, the patients’ data and healthcare service are not fully integrated as a whole. The cluster-tree structure in healthcare management provides an efficient data management mechanism, the needs for the decision support in healthcare services, including the risk management and elderly care service customisation, cannot be addressed. This situation resulted in a gap to further improve the service
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