Privacy-Preserving Data Sharing in Healthcare: Advances in Secure Multiparty Computation

Abstract

Secure Multi-Party Computation (SMC) is a thriving strategy for privacy-preserving data sharing in the healthcare domain. This research examined the role of SMC in the healthcare context and its alignment with regulations such as HIPAA and GDPR. The study highlights key findings in advanced cryptographic techniques, usability enhancements, scalability improvements, as well as security and privacy assurance protocols within SMC. The potential implications of SMC on patient privacy healthcare data management are unquestionable in terms of protecting sensitive information, securing collaboration, and facilitating data-driven decision-making. This study demonstrates that SMC has the potential to revolutionize and transform healthcare by affirming privacy while facilitating secure data sharing, leading to enhanced healthcare outcomes and empowering patients with control over their data.