Strategic Assessment of IoT Technologies in Healthcare: Grey MCDM Approach

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.

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Publication Details

Journal
Spectrum of Decision Making and Applications.
Published
2025-03-09
DOI
https://doi.org/10.31181/sdmap21202528
Citations
7
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
15.99
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article

Strategic Assessment of IoT Technologies in Healthcare: Grey MCDM Approach

Gülay Demir
7 citations
Spectrum of Decision Making and Applications.
Big Data and Business Intelligence
15.99
article

Strategic Assessment of IoT Technologies in Healthcare: Grey MCDM Approach

Gülay Demir
article en
7 citations

Abstract

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.

Spectrum of Decision Making and Applications.Vol. 2(1)
Sivas Cumhuriyet Üniversitesi (TR)
Openalex Percentile: Top 1%
Big Data and Business Intelligence
15.99
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