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Impacts of Healthcare 4.0 digital technologies on the resilience of hospitals

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  • Tortorella, Guilherme Luz
  • Saurin, Tarcísio Abreu
  • Fogliatto, Flavio S.
  • Rosa, Valentina M.
  • Tonetto, Leandro M
  • Magrabi, Farah

Abstract

Healthcare 4.0 (H4.0) adapts principles and applications from the Industry 4.0 movement to healthcare, enabling real-time customization of care to patients and professionals. As such, H4.0 can potentially support resilient performance in healthcare systems, which refers to their adaptive capacity to cope with complexity. This paper explores the impact of ten H4.0 digital technologies on four abilities of resilient systems (monitor, anticipate, respond, and learn) in the context of hospitals. For that, we conducted a survey with 109 resilient healthcare and H4.0 experts from both emerging and developed economies. The collected data were analyzed using univariate and multivariate statistical techniques. Our findings indicate four H4.0 digital technologies that have a strong impact on the four resilience abilities: remote consultations and development of plan of care in real time; digital non-invasive care; interconnected medical emergency support; and digital platforms for collaborative sharing of patient data and information. These technologies can reduce over-reliance on human adaptive skills while at the same time offering new and expanded opportunities for resilient performance in healthcare.

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  • Tortorella, Guilherme Luz & Saurin, Tarcísio Abreu & Fogliatto, Flavio S. & Rosa, Valentina M. & Tonetto, Leandro M & Magrabi, Farah, 2021. "Impacts of Healthcare 4.0 digital technologies on the resilience of hospitals," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
  • Handle: RePEc:eee:tefoso:v:166:y:2021:i:c:s0040162521000986
    DOI: 10.1016/j.techfore.2021.120666
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    3. Ciasullo, Maria Vincenza & Orciuoli, Francesco & Douglas, Alexander & Palumbo, Rocco, 2022. "Putting Health 4.0 at the service of Society 5.0: Exploratory insights from a pilot study," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    4. Alok Raj & Anand Jeyaraj, 2023. "Antecedents and consequents of industry 4.0 adoption using technology, organization and environment (TOE) framework: A meta-analysis," Annals of Operations Research, Springer, vol. 322(1), pages 101-124, March.
    5. Tortorella, Guilherme Luz & Narayanamurthy, Gopalakrishnan & Sunder M, Vijaya & Cauchick-Miguel, Paulo A, 2021. "Operations Management teaching practices and information technologies adoption in emerging economies during COVID-19 outbreak," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    6. Garcia-Perez, Alexeis & Cegarra-Navarro, Juan Gabriel & Sallos, Mark Paul & Martinez-Caro, Eva & Chinnaswamy, Anitha, 2023. "Resilience in healthcare systems: Cyber security and digital transformation," Technovation, Elsevier, vol. 121(C).
    7. Tortorella, Guilherme L. & Fogliatto, Flavio S. & Saurin, Tarcísio A. & Tonetto, Leandro M. & McFarlane, Duncan, 2022. "Contributions of Healthcare 4.0 digital applications to the resilience of healthcare organizations during the COVID-19 outbreak," Technovation, Elsevier, vol. 111(C).
    8. Chiarello, Filippo & Fantoni, Gualtiero & Hogarth, Terence & Giordano, Vito & Baltina, Liga & Spada, Irene, 2021. "Towards ESCO 4.0 – Is the European classification of skills in line with Industry 4.0? A text mining approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    9. Furstenau, Leonardo Bertolin & Zani, Carolina & Terra, Stela Xavier & Sott, Michele Kremer & Choo, Kim-Kwang Raymond & Saurin, Tarcisio Abreu, 2022. "Resilience capabilities of healthcare supply chain and supportive digital technologies," Technology in Society, Elsevier, vol. 71(C).
    10. Tortorella, Guilherme Luz & Fogliatto, Flavio S. & Kurnia, Sherah & Thürer, Matthias & Capurro, Daniel, 2022. "Healthcare 4.0 digital applications: An empirical study on measures, bundles and patient-centered performance," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    11. Azadi, Majid & Yousefi, Saeed & Farzipoor Saen, Reza & Shabanpour, Hadi & Jabeen, Fauzia, 2023. "Forecasting sustainability of healthcare supply chains using deep learning and network data envelopment analysis," Journal of Business Research, Elsevier, vol. 154(C).

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