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 employ...

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Main Authors: An-Jin Shie (Author), Wei-Feng Wu (Author), Ming Yang (Author), Xiaoji Wan (Author), Hailin Li (Author)
Format: Book
Published: Frontiers Media S.A., 2022-10-01T00:00:00Z.
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100 1 0 |a An-Jin Shie  |e author 
700 1 0 |a An-Jin Shie  |e author 
700 1 0 |a An-Jin Shie  |e author 
700 1 0 |a Wei-Feng Wu  |e author 
700 1 0 |a Wei-Feng Wu  |e author 
700 1 0 |a Ming Yang  |e author 
700 1 0 |a Xiaoji Wan  |e author 
700 1 0 |a Hailin Li  |e author 
245 0 0 |a Design and process optimization of combined medical and elderly care services: An integrated service blueprint-TRIZ model 
260 |b Frontiers Media S.A.,   |c 2022-10-01T00:00:00Z. 
500 |a 2296-2565 
500 |a 10.3389/fpubh.2022.965443 
520 |a 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. 
546 |a EN 
690 |a service blueprint (SB) 
690 |a Fuzzy-FMEA 
690 |a theory of inventive problem solving (TRIZ) 
690 |a combined medical and elderly care 
690 |a service innovation 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Frontiers in Public Health, Vol 10 (2022) 
787 0 |n https://www.frontiersin.org/articles/10.3389/fpubh.2022.965443/full 
787 0 |n https://doaj.org/toc/2296-2565 
856 4 1 |u https://doaj.org/article/c15e30556a3c4b3f8b8e37d1d93aa3a4  |z Connect to this object online.