The linked medical data access control framework.

Area of Science:

• Health Informatics
• Data Science
• Clinical Research

Background:

• Integrating medical data from multiple sources is crucial for clinical and epidemiological research.
• Ethical and legal challenges, including access constraints, hinder medical data integration.
• Aggregated data can mitigate some issues, but access control is still needed for sensitive information.

Purpose of the Study:

• To present the Linked Medical Data Access Control (LiMDAC) framework.
• To enable controlled access to medical data across distributed sources with varying access constraints.
• To address ethical and legal challenges in medical data integration.

Main Methods:

• Developed the LiMDAC framework utilizing Linked Data technologies.
• Designed three core Linked Data models: metadata, user profile, and access policy.
• Implemented a proof-of-concept platform based on the LiMDAC framework and architecture.

Main Results:

• The LiMDAC framework effectively manages access to integrated medical data.
• The proof-of-concept platform demonstrated functionality and performance in two usage scenarios.
• The framework successfully handles diverse access constraints across distributed data sources.

Conclusions:

• The LiMDAC framework provides a robust solution for secure and controlled access to integrated medical data.
• Linked Data technologies are well-suited for managing complex access policies in distributed health information systems.
• The developed platform offers a practical approach to overcoming data access barriers in clinical research.