Research Information System
Sustainable Development, 2026 (SSCI, Scopus)
Healthcare 4.0 can support SDG 3 and SDG 9 by using Industry 4.0 technologies to improve care delivery, operational efficiency, and environmental performance. In practice, hospitals face two persistent barriers: high uncertainty when prioritizing transformation initiatives and strict constraints related to data protection, interoperability, and legacy systems. This study addresses the need for a transparent, requirement-driven way to identify and rank the critical success factors of sustainable Healthcare 4.0, and to translate those priorities into implementable technical actions. A hybrid framework combining Interval-Valued Pythagorean Fuzzy AHP (IVPF-AHP) and Quality Function Deployment (QFD) is proposed. IVPF-AHP is used to weight sustainability-oriented success factors under uncertainty, and QFD maps the weighted requirements to technical and managerial responses. The framework is demonstrated through a hospital case study in Istanbul with five Industry 4.0 experienced decision-makers. Eleven sub-factors across economic, environmental, and social dimensions are evaluated. The results show that the economic dimension carries the highest importance (48.0%), followed by the environmental (42.4%) and social (9.6%) dimensions. The highest-priority sub-factors are effective data source management and security (15.3%) and a digital strategy for sustainable transformation (14.6%), with circular waste management and enabling technological infrastructure also ranking among the leading requirements. The proposed approach supports decision-makers by clarifying where to invest first to achieve a secure, measurable, and sustainability-aligned Healthcare 4.0 transition.