Yigit KazancogluMuhittin SaǧnakÇisem LafciSunil LuthraAnil KumarCaner Taçoğlu2025-10-06202116604601, 166178271660-460110.3390/ijerph18147513https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109961117&doi=10.3390%2Fijerph18147513&partnerID=40&md5=51cba72365ce3579f5b459f489a3db98https://gcris.yasar.edu.tr/handle/123456789/8948Ever-changing conditions and emerging new challenges affect the ability of the healthcare sector to survive with the current system and to maintain its processes effectively. In the healthcare sector the conservation of the natural resources is being obstructed by insufficient infrastructure for managing residual waste resulting from single-use medical materials increased energy use and its environmental burden. In this context circularity and sustainability concepts have become essential in healthcare to meliorate the sector’s negative impacts on the environment. The main aim of this study is to identify the barriers related to circular economy (CE) in the healthcare sector apply big data analytics in healthcare and provide solutions to these barriers. The contribution of this research is the detailed examination of the current healthcare literature about CE adaptation and a proposal for a big data-enabled solutions framework to barriers to circularity using fuzzy bestworst Method (BWM) and fuzzy VIKOR. Based on the findings managerial policy and theoretical implementations are recommended to support sustainable development initiatives in the healthcare sector. © 2021 Elsevier B.V. All rights reserved.EnglishBarriers, Big Data Tools, Circular Economy, Fuzzy Best-worst, Fuzzy Vikor, Healthcare Sector, Sustainable Development, Waste Issues, Database, Environmental Economics, Environmental Impact, Fuzzy Mathematics, Health Care, Management Practice, Policy Approach, Sustainability, Sustainable Development, Theoretical Study, Article, Artificial Neural Network, Data Analysis, Economic Aspect, Energy, Health Care Cost, Health Care Delivery, Health Care System, Machine Learning, Mathematical Model, Medical Education, Medical Informatics, Network Analysis, Nonhuman, Quality Of Life, Solid Waste Management, Human, Big Data, Health Care Sector, Humans, Sustainable Developmentdatabase, environmental economics, environmental impact, fuzzy mathematics, health care, management practice, policy approach, sustainability, sustainable development, theoretical study, Article, artificial neural network, data analysis, economic aspect, energy, health care cost, health care delivery, health care system, machine learning, mathematical model, medical education, medical informatics, network analysis, nonhuman, quality of life, solid waste management, human, Big Data, Health Care Sector, Humans, Sustainable DevelopmentArticle