Information Governance Framework for AI-Generated Synthetic Patient Data in Healthcare Research: Balancing Utility, Privacy and Algorithmic Bias Mitigation
Lisa Mmesoma Udechukwu, Gbenro Charles Opeke, Emonena Patrick Obrik-Uloho, Olufunke Cynthia Metibemu, Rukayat Oluwabukola Olasege
Asian Journal of Advanced Research and Reports · pp. 30–45 · Published 24 Oct 2025
10.9734/ajarr/2025/v19i111193Abstract
This study develops and validates an information governance framework for AI-generated synthetic patient data in healthcare research, balancing data utility, privacy, and algorithmic bias mitigation. The introduction positions the framework as a response to stringent privacy regulations and data scarcity, integrating dynamic consent, differential privacy, and fairness-aware synthetic data generation. The literature review synthesizes theoretical foundations and identifies gaps in standardized validation and integrated governance. The methodology employs a design science approach, utilizing public datasets such as MIMIC-III, advanced generative models (GANs, VAEs, diffusion models), and blockchain-based consent systems. Validation metrics assess fidelity, utility, and bias reduction. Findings demonstrate substantial improvements in consent efficiency, data utility, and demographic fairness, though challenges persist regarding interface complexity and scalability. The conclusion affirms enhanced patient control, privacy, and equity, recommending adaptive interfaces, federated learning, and real-world pilots. The framework offers a scalable, policy-aligned solution for secure and equitable healthcare AI, supporting evidence-based innovation while safeguarding patient rights.
Cited by 10
S. S. Mirahadi, Mohammad Rostami, S. Taherkhani · Bratislava Medical Journal · 2026
John Chinemerem Ogbete, AbuYusuf Aminu-Ibrahim, O. Iwuanyanwu · World Scientific News · 2026
John Chinemerem Ogbete, AbuYusuf Aminu-Ibrahim, Obinna Chima Iwuanyanwu · International Journal of Scientific Research in Computer Science Engineering and Information Technology · 2025
AbuYusuf Aminu-Ibrahim, John Chinemerem Ogbete, O. Iwuanyanwu · International Journal of Scientific Research in Computer Science Engineering and Information Technology · 2025
AbuYusuf Aminu-Ibrahim, John Chinemerem Ogbete, O. Iwuanyanwu · Gyanshauryam International Scientific Refereed Research Journal · 2025
Fatima Khalique, I. Javed, Katie Crowley · International Conference on Agents and Artificial Intelligence · 2026
Showing 6 of 10 known citations — external sources report more than can currently be individually listed.
Related research
- The Security Challenges of Big Data Analytics: A Systematic Literature Review — shares topic coverage
- The Hidden Challenges of Building a Scalable Data Clean Room — shares topic coverage
- A Systematic Review of Privacy-preserving Techniques in Databases — shares topic coverage
- Privacy-by-Design Data Governance Models for Healthcare Analytics and Artificial Intelligence — shares topic coverage
- Privacy-Preserving and Explainable Federated Edge Learning for Multimodal Wearable-Based Self-Tracking and Monitoring — shares topic coverage
Article metrics
Real usage data collected on this platform.
53
Page views
0
PDF downloads
2
Outbound clicks
10
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.