2022
DOI: 10.1049/sfw2.12074
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Industry 4.0 and healthcare: Context, applications, benefits and challenges

Abstract: Industry 4.0 refers to the digital transformation in the manufacturing domain through new technology. Currently, it expands well beyond manufacturing, affecting many areas of life and posing implications for all types of business. This paper focuses on the relationships between Industry 4.0 and Healthcare which transitions to increased interconnectivity, automation and smart decision making. The integration context of Industry 4.0 into Healthcare is only partly understood. Little was done until now to consolid… Show more

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Cited by 15 publications
(5 citation statements)
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“…Scalability challenges are managed using a layered architecture, where multiple fog servers are implemented to accommodate large numbers of nodes, large data volumes, and geographic expansion. To navigate regulatory complexities, close collaboration with legal experts would ensure that the proposed framework aligns with relevant healthcare data protection regulations [99]. Thorough testing and validation during integration, the involvement of cybersecurity experts, and seamless communication between the proposed framework and existing components would address concerns related to integration complexity.…”
Section: Methods For Designing Testing and Deploying The Gbg-rpl Fram...mentioning
confidence: 99%
“…Scalability challenges are managed using a layered architecture, where multiple fog servers are implemented to accommodate large numbers of nodes, large data volumes, and geographic expansion. To navigate regulatory complexities, close collaboration with legal experts would ensure that the proposed framework aligns with relevant healthcare data protection regulations [99]. Thorough testing and validation during integration, the involvement of cybersecurity experts, and seamless communication between the proposed framework and existing components would address concerns related to integration complexity.…”
Section: Methods For Designing Testing and Deploying The Gbg-rpl Fram...mentioning
confidence: 99%
“…In the realm of HRM, data fusion is increasingly lauded for its potential to enhance decision-making efficiency and support sustainability initiatives. Scholars highlight that integrating diverse data sources introduces a spectrum of complex challenges spanning technical, legal, organizational, and ethical dimensions [106][107][108][109][110][111][112][113][114][115], as thoroughly detailed in Table 5. Among these challenges, special attention must be given to the potential for algorithmic biases.…”
Section: Challenges and Ethical Considerationsmentioning
confidence: 99%
“…Furthermore, the ethical processing of data, a critical aspect underscored by Wijesekara and Gunawardena [114] and Doherty et al [115], is fundamental to ensuring equity and fairness in HR decision-making. In this context, safeguarding against data breaches becomes paramount, as security lapses can compromise sensitive employee information, undermining trust and organizational integrity [106]. This involves not only adhering to legal compliance but also fostering adaptable organizational standards responsive to evolving ethical considerations [108].…”
Section: Challenges and Ethical Considerationsmentioning
confidence: 99%
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“…However, the implementation of business analytics in African healthcare faces unique challenges. Resource constraints and technological infrastructure limitations pose significant barriers to the effective adoption of analytics in healthcare management (Kotzias et al, 2022). Additionally, the COVID-19 pandemic has exacerbated challenges in African healthcare, including shortages of healthcare workers, inadequate surveillance and diagnostic tools, and misinformation about the virus and vaccinations (Mudenda et al, 2022).…”
Section: Business Analytics In Healthcare Management: African Perspec...mentioning
confidence: 99%