A methodology for the pseudonymization of medical data

Area of Science:

• Health Informatics
• Data Privacy
• Cybersecurity

Background:

• Electronic health records (EHRs) offer improved healthcare communication and efficiency but pose significant privacy risks due to sensitive patient data.
• Unauthorized access and misuse of health data by third parties, such as insurers and employers, create societal and political pressure for robust data protection.
• Existing privacy mechanisms like encryption, anonymization, and pseudonymization have limitations in fully protecting patient data while allowing necessary access.

Purpose of the Study:

• To develop and evaluate a methodology for protecting health records from unauthorized access.
• To empower patients as data owners, enabling them to control who accesses their sensitive health information.
• To prevent data disclosure that could negatively impact patients' lives, such as denial of insurance or employment.

Main Methods:

• A combination of conceptual-analytical, artifact-building, and artifact-evaluating research approaches was employed.
• Existing privacy-preserving techniques were explored, compared, and analyzed to identify shortcomings.
• A novel pseudonymization methodology was defined, evaluated through threat analysis, and validated via a prototype implementation.

Main Results:

• A new methodology for pseudonymizing medical data was developed, separating health information from patient identifiers.
• This approach facilitates privacy-preserving secondary use of health records for research without requiring additional anonymization.
• Patients retain control over re-identifying their data, rendering it useless for unauthorized parties like insurers or employers while enabling trusted access for primary care.

Conclusions:

• The proposed framework offers a unique solution for healthcare providers, ensuring data privacy compliance (e.g., HIPAA) and enabling simultaneous primary and secondary data use.
• Security analysis confirmed the methodology's robustness against common intruder scenarios.
• The system empowers patients by giving them control over their health data, enhancing trust and facilitating secure data exchange.