TY - CHAP
T1 - Revolutionizing Blockchain Healthcare System Engineering Using Artificial Intelligence
AU - Muthukaruppasamy, S.
AU - Arun Sampaul Thomos, G.
AU - Saravanan, K.
AU - Kadry, Seifedine
AU - Manickam, Selvakumar
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
PY - 2026
Y1 - 2026
N2 - This article explores numerous dimensions of blockchain and artificial intelligence (AI) in healthcare engineering. The significance of machine learning in comprehending data patterns, doing analysis, and making informed judgments has been demonstrated across diverse industries. To make accurate conclusions, machine Learning necessitates enough data. The importance of data sharing and the dependability of data cannot be overstated in machine learning since both factors play a critical role in enhancing the accuracy of machine learning models. The decentralized database within the context of blockchain technology places significant emphasis on the data exchange. The prevailing agreement within the blockchain technology ensures the authenticity and security of data. The fusion of these two technologies can provide accurate results in machine learning, while guaranteeing the security and reliability provided by blockchain technology. Using blockchain with artificial intelligence, experts of healthcare management can get ingress for exhibiting the medical information about the patient. Mainly, AI implementation on blockchain can provide a remarkable algorithm to give a final optimistic conclusion in healthcare management. Through this current advancement of technologies, the healthcare system will get improvised care of patient efficiency at a diminished price. Blockchain with AI enhances capacity to store more secure information cryptographically and segregates data history for sharing. This study aims to provide a solid foundational understanding of these domains and thoroughly explore the potential benefits, challenges of data security, privacy issues, resource restraint, holding ability, data repository, and short fall of standards, compatibility, regulations, and future research directions in the finest approach.
AB - This article explores numerous dimensions of blockchain and artificial intelligence (AI) in healthcare engineering. The significance of machine learning in comprehending data patterns, doing analysis, and making informed judgments has been demonstrated across diverse industries. To make accurate conclusions, machine Learning necessitates enough data. The importance of data sharing and the dependability of data cannot be overstated in machine learning since both factors play a critical role in enhancing the accuracy of machine learning models. The decentralized database within the context of blockchain technology places significant emphasis on the data exchange. The prevailing agreement within the blockchain technology ensures the authenticity and security of data. The fusion of these two technologies can provide accurate results in machine learning, while guaranteeing the security and reliability provided by blockchain technology. Using blockchain with artificial intelligence, experts of healthcare management can get ingress for exhibiting the medical information about the patient. Mainly, AI implementation on blockchain can provide a remarkable algorithm to give a final optimistic conclusion in healthcare management. Through this current advancement of technologies, the healthcare system will get improvised care of patient efficiency at a diminished price. Blockchain with AI enhances capacity to store more secure information cryptographically and segregates data history for sharing. This study aims to provide a solid foundational understanding of these domains and thoroughly explore the potential benefits, challenges of data security, privacy issues, resource restraint, holding ability, data repository, and short fall of standards, compatibility, regulations, and future research directions in the finest approach.
KW - Artificial Intelligence
KW - Blockchain
KW - Data Management system
KW - Health care Engineering
UR - https://www.scopus.com/pages/publications/105029362291
U2 - 10.1007/978-981-95-2337-5_9
DO - 10.1007/978-981-95-2337-5_9
M3 - Chapter
AN - SCOPUS:105029362291
T3 - Contributions to Management Science
SP - 189
EP - 210
BT - Contributions to Management Science
PB - Springer Science and Business Media Deutschland GmbH
ER -