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
- Wazahat Ahmed Chowdhury
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