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Design and process optimization of combined medical and elderly care services: An integrated service blueprint–TRIZ model

China's increasingly aging population is resulting in an imbalance between supply and demand for elderly care resources. The theory of “combined medical and elderly care” (CMEC) has introduced a new perspective in the conception of China's elderly care problems. This study employed the ser...

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Autores principales: Shie, An-Jin, Wu, Wei-Feng, Yang, Ming, Wan, Xiaoji, Li, Hailin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606744/
https://www.ncbi.nlm.nih.gov/pubmed/36311585
http://dx.doi.org/10.3389/fpubh.2022.965443
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author Shie, An-Jin
Wu, Wei-Feng
Yang, Ming
Wan, Xiaoji
Li, Hailin
author_facet Shie, An-Jin
Wu, Wei-Feng
Yang, Ming
Wan, Xiaoji
Li, Hailin
author_sort Shie, An-Jin
collection PubMed
description China's increasingly aging population is resulting in an imbalance between supply and demand for elderly care resources. The theory of “combined medical and elderly care” (CMEC) has introduced a new perspective in the conception of China's elderly care problems. This study employed the service blueprint, fuzzy failure mode and effects analysis (Fuzzy-FMEA), and the theory of inventive problem solving (TIPS or the Russian acronym TRIZ) for the process optimization of CMEC services in three phases. In the first phase (service process analysis), potential service failure points in the service process were analyzed using the service blueprint technique. In the second phase (service failure diagnosis), Fuzzy-FMEA was applied to diagnose the service failure modes and explore the possible causes and effects. The service failure modes were then prioritized based on fuzzy numbers and the cumulative fuzzy risk priority number (Fuzzy-RPN). Finally, in the third phase (generation of service optimization solutions), the TRIZ parameters, inventive principles, and contradiction matrix were first employed to select TRIZ inventive principles. The selected TRIZ inventive principles were then used to inspire inventive solutions for new service processes. Finally, a case study was conducted on the service processes of elderly care institutions to demonstrate the applicability of the optimization solutions.
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spelling pubmed-96067442022-10-28 Design and process optimization of combined medical and elderly care services: An integrated service blueprint–TRIZ model Shie, An-Jin Wu, Wei-Feng Yang, Ming Wan, Xiaoji Li, Hailin Front Public Health Public Health China's increasingly aging population is resulting in an imbalance between supply and demand for elderly care resources. The theory of “combined medical and elderly care” (CMEC) has introduced a new perspective in the conception of China's elderly care problems. This study employed the service blueprint, fuzzy failure mode and effects analysis (Fuzzy-FMEA), and the theory of inventive problem solving (TIPS or the Russian acronym TRIZ) for the process optimization of CMEC services in three phases. In the first phase (service process analysis), potential service failure points in the service process were analyzed using the service blueprint technique. In the second phase (service failure diagnosis), Fuzzy-FMEA was applied to diagnose the service failure modes and explore the possible causes and effects. The service failure modes were then prioritized based on fuzzy numbers and the cumulative fuzzy risk priority number (Fuzzy-RPN). Finally, in the third phase (generation of service optimization solutions), the TRIZ parameters, inventive principles, and contradiction matrix were first employed to select TRIZ inventive principles. The selected TRIZ inventive principles were then used to inspire inventive solutions for new service processes. Finally, a case study was conducted on the service processes of elderly care institutions to demonstrate the applicability of the optimization solutions. Frontiers Media S.A. 2022-10-13 /pmc/articles/PMC9606744/ /pubmed/36311585 http://dx.doi.org/10.3389/fpubh.2022.965443 Text en Copyright © 2022 Shie, Wu, Yang, Wan and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Shie, An-Jin
Wu, Wei-Feng
Yang, Ming
Wan, Xiaoji
Li, Hailin
Design and process optimization of combined medical and elderly care services: An integrated service blueprint–TRIZ model
title Design and process optimization of combined medical and elderly care services: An integrated service blueprint–TRIZ model
title_full Design and process optimization of combined medical and elderly care services: An integrated service blueprint–TRIZ model
title_fullStr Design and process optimization of combined medical and elderly care services: An integrated service blueprint–TRIZ model
title_full_unstemmed Design and process optimization of combined medical and elderly care services: An integrated service blueprint–TRIZ model
title_short Design and process optimization of combined medical and elderly care services: An integrated service blueprint–TRIZ model
title_sort design and process optimization of combined medical and elderly care services: an integrated service blueprint–triz model
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606744/
https://www.ncbi.nlm.nih.gov/pubmed/36311585
http://dx.doi.org/10.3389/fpubh.2022.965443
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