article · Information Systems Frontiers
Industry 5.0 combines digitalisation and smart technologies with human-centric, sustainable, and resilient values. In healthcare, these technologies offer benefits ranging from automated disease prediction to continuous patient monitoring and equipment automation. To assess these advantages under conditions of uncertainty, a hybrid decision-making framework combines the Analytical Hierarchy Process with the Technique for Order of Preference by Similarity to Ideal Solution within a neutrosophic environment. The framework evaluates core values and sub-values to determine the relative effectiveness of different technological solutions. Evaluation findings show that artificial intelligence and cloud computing emerge as the most impactful technologies for healthcare environments. Conversely, nanotechnology, drone technology, and robotics rank at the bottom of the assessment. Comparative analysis and sensitivity testing demonstrate that adjusting the weightings of the sub-values does not alter the stability of these technology rankings.
Healthcare organisations face complex decisions when investing in emerging technologies. By providing a structured evaluation model that accounts for uncertainty alongside human-centric, resilient, and sustainable values, this approach helps decision-makers identify which digital tools offer the greatest operational and clinical benefits. It clarifies that artificial intelligence and cloud infrastructure deliver the most significant immediate value.
The framework serves as an analytical evaluation tool for healthcare administrators, technology planners, and procurement teams prioritising digital investments. It highlights artificial intelligence and cloud computing as priority solutions for automation, diagnostics, and patient monitoring. The work represents an applied decision-making model tested through comparative and sensitivity analyses, though practical commercial deployment would require integration into organisational technology transfer and capital planning workflows.
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Abstract Smart technologies have demonstrated striking outcomes regarding the early diagnosis of diseases and the delivery of the necessary healthcare in the last decade. However, by emphasizing the core fundamentals of social justice and sustainability, together with digitalization and smart technologies that predicate raising productivity and flexibility, Industry 5.0 has proven to achieve more efficient results. Industry 5.0 technologies provide more intelligent ways for human employees and higher efficiency development while also improving safety and performance in many applications. In this research, the contribution is focused on the healthcare and how Industry 5.0 technologies demonstrate several advantages for the healthcare sector, starting with automated and precise disease prediction, moving on to aiding medical personnel in continual surveillance and monitoring and concluding with successful digital automation of smart equipment. The objective of this study is to apply a hybrid multi-criteria decision-making approach under a neutrosophic environment to evaluate the advantages of industry 5.0 technologies in the healthcare sector. Industry 5.0 primary value is to reach human-centric, sustainable, and resilient industries. While Industry 5.0 technologies sub-values regarding the healthcare sector are determined and distinguished according to the 3-main values mentioned previously based on literature. The methodologies applied in this study are: The Analytical Hierarchy approach (AHP) evaluates the main values and sub-values. Subsequently, the effectiveness of industry 5.0 technologies according to their values to the healthcare sector are ranked by Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The approach is constructed under uncertainty based on a neutrosophic environment to achieve accuracy in the evaluation process. The results show that the most influential technology in healthcare are AI and cloud computing, while nano-technology, drone technology, and robots are at the end of the ranking. While validating the suggested technique, outcome comparisons were carried out to demonstrate the benefits of the methodologies. A sensitivity study indicates that adjusting the weightings of the sub-values has no significant effect on the ranking of technologies.
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DOI: 10.1007/s10796-024-10472-3
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