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.

AI, Blockchain, Healthcare Data Security, National Health Information Systems, HIPAA Compliance, Agile Methodologies, Interoperability, Cybersecurity, Patient Privacy, Health Equity

Anderson, D. J. (2010). Kanban: Successful Evolutionary Change for Your Technology Business. Blue Hole Press.

Centers for Medicare & Medicaid Services. (2022). Interoperability and Patient Access Rule. Retrieved from https://www.cms.gov.

Highsmith, J. (2010). Agile Project Management: Creating Innovative Products. Boston: Addison-Wesley.

Lee, C., et al. (2021). Machine Learning Applications in Supply Chain Forecasting. Journal of Supply Chain Management, 57(2), 45-60.

Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System. Retrieved from https://bitcoin.org/bitcoin.pdf.

Sanders, N. R. (2018). Supply Chain Management: A Global Perspective (2nd ed.). Wiley.

Schwaber, K., & Sutherland, J. (2020). The Scrum Guide. Retrieved from https://www.scrumguides.org.

U.S. Department of Health and Human Services. (2023). HIPAA Enforcement and Breach Notification. Retrieved from https://www.hhs.gov/hipaa.

White House. (2023). National Cybersecurity Strategy. Retrieved from https://www.whitehouse.gov.

Womack, J. P., & Jones, D. T. (2003). Lean Thinking: Banish Waste and Create Wealth in Your Corporation. New York: Free Press.

Zhang, G., & Zhao, Z. (2017). Machine Learning in Supply Chain Management. International Journal of Production Research, 55(3), 765–782.12. DHL Trend Research. (2020). Artificial Intelligence in Logistics. DHL Customer Solutions & Innovation.