PRIVACY PRESERVING HEALTH CARE DATA SHARING WITH DATA MINING

Abstract

The growing importance of data in healthcare has heightened the need for privacy-preserving data sharing, particularly in systems where health records are distributed across a databases. Despite widespread recognition of the benefits of data sharing for both research and patient care, concerns about privacy and security remain a major barrier. This study explores current attitudes toward data sharing healthcare professionals across clinical and non-clinical roles. By combining descriptive statistics and data mining techniques, we assessed trust in existing privacy-preserving tools—such as data anonymization, encryption, and access control mechanisms—and evaluated openness to adopting proposed advanced solutions, including differential privacy, and secure multi-party. Findings reveal a cautious with many professionals showing readiness, primarily motivated by the potential to improve patient outcomes rather than purely research interests. These insights contribute to the development of targeted policies and innovative frameworks aimed at enabling secure, privacy-conscious data sharing in the healthcare sector. Index Terms – Privacy Preservation, Healthcare Data Sharing, Data Mining, Electronic Health Records, Data Security, Healthcare Analytics, Cryptography, Access Control, Secure Data Sharing, Cybersecurity.