Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Auditing AI Access to Electronic Health Records: HIPAA Compliance, Challenges, Solutions, and Future Directions
1
Zitationen
1
Autoren
2025
Jahr
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.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.250 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.109 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.482 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.434 Zit.