Advancing healthcare innovation with Quality 5.0: a hybrid fuzzy AHP–TOPSIS model for strategic prioritization

Abstract

PURPOSE: The present study will outline the systematic approach toward implementing Quality 5.0 in the healthcare industry by focusing on patient-centered innovations. It is concerned with assisting healthcare organizations with digital transformation with a powerful decision-making model that balances the technological, human-centered and ethical objectives. DESIGN/METHODOLOGY/APPROACH: A hybrid multi-criteria decision-making model of Fuzzy Analytic Hierarchy Process (AHP) and Fuzzy Technique for Order Preference by Similarity to Ideal Solution has been applied. The evaluation was performed on five dimensions, including Human-Centered Artificial Intelligence and Automation (HAA), Patient-Centric Digital Healthcare, Sustainable Healthcare Practices, Workforce Adaptation and Ethical and Regulatory Compliance. FINDINGS: HAA revealed to be the most effective enabler of Quality 5.0 since it guarantees the enhancement of clinical decision-making by means of AI-controlled diagnostics and robot-assisted surgery coupled with the essential level of human surveillance. Green hospital initiatives and other approaches in the sustainable healthcare area were identified as paths that reduce the number of environmental costs as well as operational costs. The readiness of the workforce and integrity became vital supplementary elements. PRACTICAL IMPLICATIONS: The suggested model will offer healthcare institutions an advanced framework to prioritize innovations through ethical demand, technology readiness, and patient-centered care. It enables organized decision-making within the complicated innovation settings. ORIGINALITY/VALUE: This study is among the first to apply a hybrid Fuzzy AHP-TOPSIS approach to operationalize Quality 5.0 in healthcare. It offers a novel, patient-centered prioritization framework grounded in both technological and ethical dimensions of healthcare innovation.