A privacy-preserved analytical method for ehealth database with minimized information loss.

Area of Science:

• Health Informatics
• Data Privacy
• Information Management

Background:

• Digitizing medical information using information and communication technology (ICT) enhances health record management.
• Medical data privacy is a significant concern due to the sensitive nature of personal health information.
• Traditional privacy systems focus on re-identification risk, often overlooking information loss and high-risk data identification.

Purpose of the Study:

• To propose the Hiatus Tailor (HT) system for managing medical records.
• To ensure low re-identification risk while minimizing information loss.
• To identify and isolate high-risk data for improved database management.

Main Methods:

• Development of the Hiatus Tailor (HT) system.
• Implementation of privacy risk management strategies focusing on both re-identification and information loss.
• Experimental evaluation of the HT system's performance compared to traditional methods.

Main Results:

• The HT system achieves significantly lower information loss compared to traditional risk management methods.
• The system maintains a low risk of re-identification for medical records.
• Authenticated information is provided to database users while identifying high-risk data.

Conclusions:

• The Hiatus Tailor system offers a superior approach to medical data privacy.
• It balances the need for data utility in research and healthcare with robust privacy protection.
• The system enhances the management of sensitive medical information.