AI and Blockchain for Securing Healthcare Data: A Framework for National Health Information Systems

The growing number of cybersecurity threats against U.S. healthcare systems resulted in 133 million patient record breaches during 2023 which caused massive financial losses and destroyed patient trust. The National Health Information Systems (NHIS) need enhanced security measures to fulfill HIPAA requirements and achieve better health care interoperability. This paper establishes a framework which combines Artificial Intelligence (AI) with blockchain technology to create healthcare data protection that increases data confidentiality and connectivity among healthcare systems along with trust in the process. AI technology offers real-time threat recognition and compliance tracking through its system while Blockchain creates a permanent audit tracking system to control decentralized data management. Agile methodologies allow businesses to implement projects in cycles for stakeholder suitability through alignment. The paper uses real-world examples together with assessment of difficulties and exemplary practices to show how the framework deals with breaches and achieves CMS interoperability targets and provides enhanced treatment outcomes. The approach for securing NHIS moves healthcare systems forward while strengthening national priorities through fostering care equity and delivery resilience.

Authors

Publication Details

Journal
International journal of data science and machine learning.
Published
2025-09-26
DOI
https://doi.org/10.55640/ijdsml-05-02-11
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

AI and Blockchain for Securing Healthcare Data: A Framework for National Health Information Systems

Wazahat Ahmed Chowdhury
International journal of data science and machine learning.
Artificial Intelligence in Healthcare and Education
article

AI and Blockchain for Securing Healthcare Data: A Framework for National Health Information Systems

Wazahat Ahmed Chowdhury
article en

Abstract

The growing number of cybersecurity threats against U.S. healthcare systems resulted in 133 million patient record breaches during 2023 which caused massive financial losses and destroyed patient trust. The National Health Information Systems (NHIS) need enhanced security measures to fulfill HIPAA requirements and achieve better health care interoperability. This paper establishes a framework which combines Artificial Intelligence (AI) with blockchain technology to create healthcare data protection that increases data confidentiality and connectivity among healthcare systems along with trust in the process. AI technology offers real-time threat recognition and compliance tracking through its system while Blockchain creates a permanent audit tracking system to control decentralized data management. Agile methodologies allow businesses to implement projects in cycles for stakeholder suitability through alignment. The paper uses real-world examples together with assessment of difficulties and exemplary practices to show how the framework deals with breaches and achieves CMS interoperability targets and provides enhanced treatment outcomes. The approach for securing NHIS moves healthcare systems forward while strengthening national priorities through fostering care equity and delivery resilience.

International journal of data science and machine learning.Vol. 05(02)
Openalex Percentile: Top 81%
Artificial Intelligence in Healthcare and Education
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