Akademik Veri Yönetim Sistemi
Spectrum of Decision Making Applications, cilt.2, sa.1, ss.375-388, 2025 (Scopus)
The integration of Internet of Things (IoT) technologies in healthcare has revolutionized patient monitoring, data analytics, and remote medical device management, significantly improving healthcare delivery. However, selecting the most appropriate IoT technologies in the healthcare sector involves evaluating multiple criteria under conditions of uncertainty. This study addresses this challenge by utilizing the Grey Decision-Making Trial and Evaluation Laboratory (Grey DEMATEL) method to analyze the key criteria influencing IoT technology selection in healthcare. Eight critical criteria, including security, data privacy, technical performance, usability, scalability, and economic factors, were identified and examined for their causal relationships. The results show that security and data privacy are the most influential factors, followed by technical performance and usability. The findings offer valuable insights for decision-makers, assisting them in prioritizing crucial aspects for successful IoT implementation in healthcare. This research contributes to the field by providing a structured decision-making framework that enhances the effective integration of IoT technologies while addressing security, efficiency, and regulatory concerns.