A Systematic Review: The Role of Fuzzy Logic and Blockchain in Healthcare Data Analytics

Abstract

Healthcare industry has always been under pressure to deliver high-quality services while minimizing errors and ensuring patient safety. The healthcare industry is facing a number of challenges including decision-making accuracy, diagnostic errors, and data security. Blockchain and fuzzy logic design are emerging technologies that may provide potential solutions in order to address these challenges. Blockchain technology offers a secure and decentralized system for storing and sharing patient healthcare data, while fuzzy logic design deals with uncertainty and imprecision, improving patient healthcare decision-making and reducing errors. In this systematic review, the combination of fuzzy logic design and blockchain technology are highlighting the potential benefits in patient healthcare applications, while addressing major concerns in healthcare like decision-making accuracy, diagnostic errors, and data security. The successful implementation of these technologies in patient healthcare may have a significant contributions in handling uncertainty and imprecision in complex healthcare systems. In future, it may be incorporated with machine learning techniques like federated learning and explainable artificial intelligence that could improve decision-making and accuracy in more better way.