Secure Sharing of Health-Related Data: Research Description of the VINTER, DELFIN, and HEIDA Projects

Stud Health Technol Inform. 2023 May 18:302:143-144. doi: 10.3233/SHTI230087.

Abstract

The need for secure and integrity-preserved data sharing has become increasingly important in the emerging era of changed demands on healthcare and increased awareness of the potential of data. In this research plan, we describe our path to explore the optimal use of integrity preservation in health-related data contexts. Data sharing in these settings is poised to increase health, improve healthcare delivery, improve the offering of services and products from commercial entities, and strengthen healthcare governance, all with a maintained societal trust. The HIE challenges relate to legal boundaries and to the importance of maintaining accuracy and utility in the secure sharing of health-related data.

Keywords: Artificial Intelligence; GDPR; Privacy Preservation; Sensitive Data.

MeSH terms

  • Delivery of Health Care*
  • Information Dissemination*
  • Trust