Healthcare Decision Support Systems (DSS) play a pivotal contribution in modern healthcare, aiding in informed decision-making and the distribution of high-quality care. To optimize the systems, it is critical to recognize and prioritize the enablers that provide to their successful establishment and operation. This study presents a comprehensive analysis of 10 key enablers essential for the development and deployment of healthcare DSS for quality care. Utilizing Fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory), a powerful methodology for discovering complex interdependencies among factors, we systematically evaluate the relationships among these enablers. The enablers, ranging from data integration and clinical collaboration to privacy safeguards and continuous improvement mechanisms, are scrutinized through the lens of Fuzzy DEMATEL, which accommodates the inherent uncertainties and ambiguities within healthcare data. The findings from the study shed light on the strength and direction of the relationships among the enablers, unveiling critical factors that exert substantial influence and those that are most susceptible to external changes. By applying Fuzzy DEMATEL, this study backs to a deeper understanding of the multifaceted nature of healthcare DSS development, offering insights to guide decision-makers, healthcare practitioners, and system developers in their pursuit of improved DSS that enhance the quality of healthcare delivery.