Abstract:Purpose The purpose of this paper is to examine the opportunity for supply chain processes and infrastructure to reduce the risk of medical error and create traceability of adverse events in community care settings. Patient safety has become an important area of focus over the past few decades, with medical error now accounting for the third most common cause of death in Canada and the USA. The majority of patient safety studies to date have focused specifically on safety in hospital settings; however, deaths … Show more
“…The three value chains—life care services, medical services, and long-term care services—are closely related and unique. Moreover, system visibility enables quality and safe care that is transparent and accountable and delivers value to patients (Snowdon and Tallarigo, 2018 ). However, acquiring an information system application can require an enormous investment for healthcare organizations.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In particular, smart technology reduces the waste of resources and gathers medical information to predict and control the occurrence of disease Liang et al ( 2017 ); Grünloh et al ( 2018 ); Lopes et al ( 2018 ); Vetsch et al ( 2019 ); Denicolai and Previtali ( 2020 ) Sustainable Financial Development Government Subsidy Industry Service Value Effective Cost Control As government subsidies provide the financial resources for care institutions, they combine the three value chains of care services, medical services, and long-term care services to achieve the value of care industry services. Effective management of initial costs, maintenance costs, support, and enhancement of system-related long-term costs can all support long-term care sustainable development Kim et al ( 2013 ); Wager et al ( 2017 ); Snowdon and Tallarigo ( 2018 ); PwC ( 2019 ); Teymourifar et al ( 2021 ) Resource Optimization Integration Adequate Service Capacity Health Care Process Optimization Health Care Resource Utilization Provide long-term care service popularization, training of caregivers, and employment mediation, while developing a long-term service industry. Through process optimization, resources are optimally allocated to improve work efficiency, incorporate home, community, and care institutions, and integrate medical, pharmaceutical, and assistive devices to provide good care to patients Schipper et al ( 2015 ); Ker et al ( 2018 ); Qiana et al ( 2019 ); Abdalkareem et al ( 2021 ) …”
A globally aging population results in the long-term care of people with chronic illnesses, affecting the living quality of the elderly. Integrating smart technology and long-term care services will enhance and maximize healthcare quality, while planning a smart long-term care information strategy could satisfy the variety of care demands regarding hospitals, home-care institutions, and communities. The evaluation of a smart long-term care information strategy is necessary to develop smart long-term care technology. This study applies a hybrid Multi-Criteria Decision-Making (MCDM) method, which uses the Decision-Making Trial and Evaluation Laboratory (DEMATEL) integrated with the Analytic Network Process (ANP) for ranking and priority of a smart long-term care information strategy. In addition, this study considers the various resource constraints (budget, network platform cost, training time, labor cost-saving ratio, and information transmission efficiency) into the Zero–one Goal Programming (ZOGP) model to capture the optimal smart long-term care information strategy portfolios. The results of this study indicate that a hybrid MCDM decision model can provide decision-makers with the optimal service platform selection for a smart long-term care information strategy that can maximize information service benefits and allocate constrained resources most efficiently.
“…The three value chains—life care services, medical services, and long-term care services—are closely related and unique. Moreover, system visibility enables quality and safe care that is transparent and accountable and delivers value to patients (Snowdon and Tallarigo, 2018 ). However, acquiring an information system application can require an enormous investment for healthcare organizations.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In particular, smart technology reduces the waste of resources and gathers medical information to predict and control the occurrence of disease Liang et al ( 2017 ); Grünloh et al ( 2018 ); Lopes et al ( 2018 ); Vetsch et al ( 2019 ); Denicolai and Previtali ( 2020 ) Sustainable Financial Development Government Subsidy Industry Service Value Effective Cost Control As government subsidies provide the financial resources for care institutions, they combine the three value chains of care services, medical services, and long-term care services to achieve the value of care industry services. Effective management of initial costs, maintenance costs, support, and enhancement of system-related long-term costs can all support long-term care sustainable development Kim et al ( 2013 ); Wager et al ( 2017 ); Snowdon and Tallarigo ( 2018 ); PwC ( 2019 ); Teymourifar et al ( 2021 ) Resource Optimization Integration Adequate Service Capacity Health Care Process Optimization Health Care Resource Utilization Provide long-term care service popularization, training of caregivers, and employment mediation, while developing a long-term service industry. Through process optimization, resources are optimally allocated to improve work efficiency, incorporate home, community, and care institutions, and integrate medical, pharmaceutical, and assistive devices to provide good care to patients Schipper et al ( 2015 ); Ker et al ( 2018 ); Qiana et al ( 2019 ); Abdalkareem et al ( 2021 ) …”
A globally aging population results in the long-term care of people with chronic illnesses, affecting the living quality of the elderly. Integrating smart technology and long-term care services will enhance and maximize healthcare quality, while planning a smart long-term care information strategy could satisfy the variety of care demands regarding hospitals, home-care institutions, and communities. The evaluation of a smart long-term care information strategy is necessary to develop smart long-term care technology. This study applies a hybrid Multi-Criteria Decision-Making (MCDM) method, which uses the Decision-Making Trial and Evaluation Laboratory (DEMATEL) integrated with the Analytic Network Process (ANP) for ranking and priority of a smart long-term care information strategy. In addition, this study considers the various resource constraints (budget, network platform cost, training time, labor cost-saving ratio, and information transmission efficiency) into the Zero–one Goal Programming (ZOGP) model to capture the optimal smart long-term care information strategy portfolios. The results of this study indicate that a hybrid MCDM decision model can provide decision-makers with the optimal service platform selection for a smart long-term care information strategy that can maximize information service benefits and allocate constrained resources most efficiently.
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