Blockchain-IoT-Driven Nursing Workforce Planning for Effective Long-Term Care Management in Nursing Homes

Due to the global ageing population, the increasing demand for long-term care services for the elderly has directed considerable attention towards the renovation of nursing homes. Although nursing homes play an essential role within residential elderly care, professional shortages have created serio...

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Autores principales:	Y. P. Tsang, C. H. Wu, Polly P. L. Leung, W. H. Ip, W. K. Ching
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Medicine (General) R5-920 Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/6d8aaf1e4652490bb8fe2c65e5f56ef5
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spelling	oai:doaj.org-article:6d8aaf1e4652490bb8fe2c65e5f56ef52021-11-22T01:11:21ZBlockchain-IoT-Driven Nursing Workforce Planning for Effective Long-Term Care Management in Nursing Homes2040-230910.1155/2021/9974059https://doaj.org/article/6d8aaf1e4652490bb8fe2c65e5f56ef52021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9974059https://doaj.org/toc/2040-2309Due to the global ageing population, the increasing demand for long-term care services for the elderly has directed considerable attention towards the renovation of nursing homes. Although nursing homes play an essential role within residential elderly care, professional shortages have created serious pressure on the elderly service sector. Effective workforce planning is vital for improving the efficacy and workload balance of existing nursing staff in today’s complex and volatile long-term care service market. Currently, there is lack of an integrated solution to monitor care services and determine the optimal nursing staffing strategy in nursing homes. This study addresses the above challenge through the formulation of nursing staffing optimisation under the blockchain-internet of things (BIoT) environment. Embedding a blockchain into IoT establishes the long-term care platform for the elderly and care workers, thereby decentralising long-term care information in the nursing home network to achieve effective care service monitoring. Moreover, such information is further utilised to optimise nursing staffing by using a genetic algorithm. A case study of a Hong Kong nursing home was conducted to illustrate the effectiveness of the proposed system. We found that the total monthly staffing cost after using the proposed model was significantly lower than the existing practice with a change of −13.48%, which considers the use of heterogeneous workforce and temporary staff. Besides, the care monitoring and staffing flexibility are further enhanced, in which the concept of skill substitution is integrated in nursing staffing optimisation.Y. P. TsangC. H. WuPolly P. L. LeungW. H. IpW. K. ChingHindawi LimitedarticleMedicine (General)R5-920Medical technologyR855-855.5ENJournal of Healthcare Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920 Medical technology R855-855.5
spellingShingle	Medicine (General) R5-920 Medical technology R855-855.5 Y. P. Tsang C. H. Wu Polly P. L. Leung W. H. Ip W. K. Ching Blockchain-IoT-Driven Nursing Workforce Planning for Effective Long-Term Care Management in Nursing Homes
description	Due to the global ageing population, the increasing demand for long-term care services for the elderly has directed considerable attention towards the renovation of nursing homes. Although nursing homes play an essential role within residential elderly care, professional shortages have created serious pressure on the elderly service sector. Effective workforce planning is vital for improving the efficacy and workload balance of existing nursing staff in today’s complex and volatile long-term care service market. Currently, there is lack of an integrated solution to monitor care services and determine the optimal nursing staffing strategy in nursing homes. This study addresses the above challenge through the formulation of nursing staffing optimisation under the blockchain-internet of things (BIoT) environment. Embedding a blockchain into IoT establishes the long-term care platform for the elderly and care workers, thereby decentralising long-term care information in the nursing home network to achieve effective care service monitoring. Moreover, such information is further utilised to optimise nursing staffing by using a genetic algorithm. A case study of a Hong Kong nursing home was conducted to illustrate the effectiveness of the proposed system. We found that the total monthly staffing cost after using the proposed model was significantly lower than the existing practice with a change of −13.48%, which considers the use of heterogeneous workforce and temporary staff. Besides, the care monitoring and staffing flexibility are further enhanced, in which the concept of skill substitution is integrated in nursing staffing optimisation.
format	article
author	Y. P. Tsang C. H. Wu Polly P. L. Leung W. H. Ip W. K. Ching
author_facet	Y. P. Tsang C. H. Wu Polly P. L. Leung W. H. Ip W. K. Ching
author_sort	Y. P. Tsang
title	Blockchain-IoT-Driven Nursing Workforce Planning for Effective Long-Term Care Management in Nursing Homes
title_short	Blockchain-IoT-Driven Nursing Workforce Planning for Effective Long-Term Care Management in Nursing Homes
title_full	Blockchain-IoT-Driven Nursing Workforce Planning for Effective Long-Term Care Management in Nursing Homes
title_fullStr	Blockchain-IoT-Driven Nursing Workforce Planning for Effective Long-Term Care Management in Nursing Homes
title_full_unstemmed	Blockchain-IoT-Driven Nursing Workforce Planning for Effective Long-Term Care Management in Nursing Homes
title_sort	blockchain-iot-driven nursing workforce planning for effective long-term care management in nursing homes
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/6d8aaf1e4652490bb8fe2c65e5f56ef5
work_keys_str_mv	AT yptsang blockchainiotdrivennursingworkforceplanningforeffectivelongtermcaremanagementinnursinghomes AT chwu blockchainiotdrivennursingworkforceplanningforeffectivelongtermcaremanagementinnursinghomes AT pollyplleung blockchainiotdrivennursingworkforceplanningforeffectivelongtermcaremanagementinnursinghomes AT whip blockchainiotdrivennursingworkforceplanningforeffectivelongtermcaremanagementinnursinghomes AT wkching blockchainiotdrivennursingworkforceplanningforeffectivelongtermcaremanagementinnursinghomes
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Blockchain-IoT-Driven Nursing Workforce Planning for Effective Long-Term Care Management in Nursing Homes

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