Privacy-Preserving Integration of GPT-4 and Natural Language Processing via Secure Multi-Party Computation for Healthcare Data
Zainab Khalid Mohammed, Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, Salah A. S. Aliesawi, Narjes Benameur, Korhan Cengiz, Abdullah Raza Lakhan · International Journal of Mathematics Statistics and Computer Science · 2025
Integrating Generative Pre-Trained Transformer (GPT-4) in healthcare heralds a transformative era, automating routine tasks and empowering physicians to focus on complex patient care. GPT-4's role in patient education simplifies medical terminology, fosters a knowledgeable patient base, and promotes adherence to care plans. This study presents a secure framework for integrating GPT-4, Natural Language Processing (NLP), and patient data in healthcare using Secure Multi-Party Computation (MPC). The framework ensures secure data exchange among stakeholders in healthcare data analysis. Emphasizing security, privacy, and regulatory compliance, the study underscores collaboration with privacy, security, and healthcare experts. The amalgamation of GPT-4 and NLP advances research and care and upholds data protection standards. The revolutionary use of MPC marks a paradigm shift, promising enhanced patient outcomes and securing the future of healthcare.