aspg-20-1414-1791307689 20261006172809 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group International Journal of Wireless and Ad Hoc Communication IJWAC 2692-4056 2021 2 1 Mahmoud Zaher Faculty of Artificial Intelligence, Data Science department, Egyptian Russian University (ERU), Cairo, Egypt Nashaat EL-Khameesy ElGhitany Department of Computer Science & Information Systems, Sadat Academy for Management Science, Egypt The Internet of Things (IoT) healthcare industry is under tremendous pressure to simplify its secure data communication processes. Patients are beginning to consider healthcare services, such as those relating to wellness promotion, illness prevention, diagnosis, care, and recovery, as ongoing cycles. With the prevalence of chronic illnesses on the rise and public perceptions of healthcare shifting, many people increasingly see modern health services as ongoing commitments. Using data provided through the most cutting-edge technology, efficient healthcare systems should reliably provide all their patients with access to the high-quality, comprehensive medical treatment they can afford. So, this study presents a neutrosophic multicriteria decision-making (MCDM) model to optimize the selection of blockchain communication platforms in IoT healthcare applications. To identify the best blockchain platform for use in healthcare, the Measurement of Alternatives and Ranking according to the Compromise Solution (MARCOS) technique was created. The proposed model improves the efficiency, accuracy, and reliability for better Blockchain secure communication in the IoT healthcare industry. 2021 49 57 1414 https://creativecommons.org/licenses/by/4.0/ 10.54216/IJWAC.020104 https://americaspg.com/journal/20/article/1414 https://americaspg.com/storage/91671446940.pdf