An AI-Based Secure and Robust Customized Patient Healthcare System Using Blockchain Technology

B. Madhu and Snigdha Sen ()
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B. Madhu: Department of Computer Science and Engineering, Maharaja Institute of Technology
Snigdha Sen: Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education

A chapter in AI in Smart and Secure Healthcare, 2026, pp 449-468 from Springer

Abstract: Abstract The swift in technological growth has made a profound impact on healthcare to a major extent, bringing new possibilities along with challenges—regarding data security, privacy, and the urgent need for personalized care. Over the years, due to digitization, lots of patient data are being collected and therefore protection of sensitive health data of patients from intruder and malicious attacks is of prime importance. There is a constant urge to build an effective robust and secure system to maintain this. By combining artificial intelligence (AI) and blockchain technology, a secure, efficient, and personalized healthcare system can be built. AI makes it possible to analyze health data instantly and adapt care based on what’s learned, while blockchain keeps every patient record secure, unchangeable, and transparent to the authorized personnels. This helps to address challenges in sensitive healthcare information purely focusing on data privacy, real-time monitoring, and secure data sharing. This chapter explores how integration of AI and blockchain-based techniques helps in building real-time health care monitoring systems with secure records of patients. This system will help in secure storage, sharing and maintaining data integrity and access control in addition to preventing security breaches. Subsequently, it will promote trust in digital healthcare, paving the way for more effective, secure, and personalized patient care.

Date: 2026
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DOI: 10.1007/978-3-032-15092-9_18

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