Contributions of Healthcare 4.0 digital applications to the resilience of healthcare organizations during the COVID-19 outbreak

Tortorella, Guilherme Luz; Fogliatto, Flávio Sanson; Saurin, Tarcísio Abreu; Tonetto, Leandro Miletto; McFarlane, Duncan

doi:10.1016/j.technovation.2021.102379

Cited by 55 publications

(31 citation statements)

References 129 publications

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“…In this research, first we studied the literature in I4.0 and digital technologies in healthcare (Tortorella et al ., 2020a, b, c, d; Tortorella et al ., 2021a, b). After reviewing, we identified H4.0 digital technologies.…”

Section: Resultsmentioning

confidence: 99%

A comprehensive framework for classification and selection of H4.0 digital technologies affecting healthcare processes in the grey environment

Jamkhaneh

Tortorella

Parkouhi

et al. 2022

TQM

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PurposeThis study seeks to provide a conceptual framework for the classification and selection of Healthcare 4.0 (H4.0) digital technologies affecting healthcare processes.Design/methodology/approachBy examining the literature review, a set of processes of health services based on two axes of interaction and service customization and the axis of labor intensity of the service process matrix was divided into four categories: service factory, mass service, service shop and professional services. Then, using a combination of grey decision-making trial and evaluation laboratory (DEMATEL) and grey weighted aggregates sum product assessment (WASPAS) methods, a framework was presented to compute the impact of each of the H4.0 digital technologies on sub-criteria of the two main axes. Finally, based on the degree of the impact of each technology on the main axes, the technology affecting the four processes was segmented.FindingsFindings show that the customer participation in the service process (C1), ways to provide customer service (C6) as well as the speed of service delivery (L4) are the most important in the classification of digital technologies affecting healthcare processes.Research limitations/implicationsVarious other indicators from the behavioral, cultural, political, social and economic fields can be examined and used as a basis for evaluating H4.0 digital technologies.Practical implicationsThe proposed framework can help managers select H4.0 digital technologies to prioritize, review and analyze appropriate technologies to improve and support different processes, prioritize appropriate technologies and review and analyze.Originality/valueSo far, no study has examined the link between digital technologies and various service processes. Therefore, this reinforces the originality and value of the present study.

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Section: Resultsmentioning

confidence: 99%

A comprehensive framework for classification and selection of H4.0 digital technologies affecting healthcare processes in the grey environment

Jamkhaneh

Tortorella

Parkouhi

et al. 2022

TQM

View full text Add to dashboard Cite

show abstract

“…The third cluster showed that the COVID-19 pandemic has accelerated digitalization in all social sectors, including the service industry and the healthcare area particularly. Even though face-to-face care plays a critical role in the current healthcare system, digital healthcare is suggested as an alternative face-to-face with a virtual visit to prevent infection and accelerate telemedicine services in the COVID-19 era (Yamamoto 2021 ; Tortorella et al 2021 ). Many studies maintained that service organizations are speeding up the adoption of digital transformation to respond quickly and decisively to the COVID-19 pandemic era with resilience (Bartsch et al 2020 ; Agostino et al 2021 ; Abdel-Basset et al 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Research trends in digital transformation in the service sector: a review based on network text analysis

Rha

Lee

2022

Serv Bus

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Digital transformation has influenced value chain operations of both manufacturing and service firms. This study examined digital transformation in the service sector through network text analysis of 330 related articles published during the past 10 years. The selected papers’ keyword link relations were analyzed to create network maps of research topics, ranging from traditional to emerging ideas of researchers. Dominant research topics and their clusters were identified using centrality and community analyses, and research trends were identified. The results of this study will help researchers and practitioners in the relevant fields capture the overall picture of the field.

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“…is growing, and the Saudi context is not exempt from these changes in the health care sector. The use of digital applications and health care technologies 4.0 during COVID‐19 invites scholars and researchers to investigate other factors determining the decision to adopt emerging and disruptive technologies to enhance the resilience of health care organizations in this strategic sector (Tortorella et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Critical factors affecting the decision to adopt cloud computing in Saudi health care organizations

Ayadi

2022

E J Info Sys Dev Countries

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This research aims to identify factors that affect cloud computing (CC) adoption decisions among Saudi health care organizations. More precisely, a research model has been developed and tested to present factors that can facilitate or inhibit the decision to adopt CC in such organizations. In addition to its theoretical contributions, this model would help to formulate some recommendations that can aid IT/IS managers in Saudi health care organizations in making the right decisions when adopting cloud solutions. These managerial contributions are very interesting since the health care sector is very advanced and the number of health care organizations searching for new and effective IT solutions is growing quickly in Saudi Arabia. A quantitative type of research was conducted using a self-administered survey methodology. Data collected from 123 Saudi health care organizations are used to test the research hypotheses. They are analyzed by using XLStat by structural equation modeling. The findings revealed that top managers' support and adequate resources, competitive pressure, and security and compatibility, representing organizational, environmental and technology factors, respectively, are perceived as significant factors for adopting a CC system. Considering the direct and indirect effects of the main variables on CC decisions regarding adoption, we propose some recommendations that would benefit decision-makers and scholars in this area.

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Contributions of Healthcare 4.0 digital applications to the resilience of healthcare organizations during the COVID-19 outbreak

Cited by 55 publications

References 129 publications

A comprehensive framework for classification and selection of H4.0 digital technologies affecting healthcare processes in the grey environment

A comprehensive framework for classification and selection of H4.0 digital technologies affecting healthcare processes in the grey environment

Research trends in digital transformation in the service sector: a review based on network text analysis

Critical factors affecting the decision to adopt cloud computing in Saudi health care organizations

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