Role of AI in Modern Healthcare: From Data Analytics to Intelligent Supply Chains and Secure Block chain Systems

Authors

  • Bimalendu Pendy Independent Researcher, 39900 Blacow Road, Apt #58, Fremont, CA, 94538 Author

DOI:

https://doi.org/10.70445/gtst.2.2.2026.103-129

Keywords:

AI in healthcare, Predictive analytics, Data analytics, Machine learning, Block chain, Healthcare supply chain

Abstract

Healthcare is undergoing transformation using artificial intelligence (AI), data analytics, machine learning, and block chain technology. The innovations allow effective analysis of big healthcare data to enhance disease prediction, diagnosis, treatment plans, and patient outcomes. AI-based systems assist in making clinical decisions, improving healthcare supply chains, and improving operational efficiency. Thanks to predictive analytics, it is easier to detect diseases and manage resources at the earliest stage, and block chain guarantees the safety, transparency, and inability to alter the information. The use of AI is pushing to the desired goal of personalized and preventive healthcare despite the obstacles facing it, including data privacy, bias, and interoperability challenges. This review identifies how AI has been used, challenges relating to AI usage, and its future in the current healthcare systems.

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Published

2026-03-24