Auditing AI Access to Electronic Health Records: HIPAA Compliance, Challenges, Solutions, and Future Directions

The integration of artificial intelligence (AI) into healthcare, especially within Electronic Health Records (EHRs), is transforming clinical workflows and data management. However, this evolution introduces new complexities for regulatory compliance, particularly under the Health Insurance Portability and Accountability Act (HIPAA). Traditional EHR audits focus on human users, but as AI agents increasingly access sensitive patient data, audit frameworks must evolve to ensure accountability, transparency, and compliance. This article explores the regulatory requirements, technical challenges, and practical solutions for auditing AI access to EHRs, illustrated by recent real-world case studies.

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Publication Details

Journal
Journal of Computer Science and Technology Studies
Published
2025-08-04
DOI
https://doi.org/10.32996/jcsts.2025.7.8.51
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
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article

Auditing AI Access to Electronic Health Records: HIPAA Compliance, Challenges, Solutions, and Future Directions

Venkata Naga Mahesh Kumar Vankayala
1 citations
Journal of Computer Science and Technology Studies
Artificial Intelligence in Healthcare and Education
0.65
article

Auditing AI Access to Electronic Health Records: HIPAA Compliance, Challenges, Solutions, and Future Directions

Venkata Naga Mahesh Kumar Vankayala
article en
1 citations

Abstract

The integration of artificial intelligence (AI) into healthcare, especially within Electronic Health Records (EHRs), is transforming clinical workflows and data management. However, this evolution introduces new complexities for regulatory compliance, particularly under the Health Insurance Portability and Accountability Act (HIPAA). Traditional EHR audits focus on human users, but as AI agents increasingly access sensitive patient data, audit frameworks must evolve to ensure accountability, transparency, and compliance. This article explores the regulatory requirements, technical challenges, and practical solutions for auditing AI access to EHRs, illustrated by recent real-world case studies.

Journal of Computer Science and Technology StudiesVol. 7(8)
Oracle (United States) (US)
Openalex Percentile: Top 22%
Artificial Intelligence in Healthcare and Education
0.65
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