Taiwan Biobank: making cross-database convergence possible in the Big Data era

Area of Science:

• Biomedical research
• Bioinformatics
• Medical ethics

Background:

• The Taiwan Biobank (TWB) is a large-scale biomedical database crucial for precision medicine research.
• Access to TWB data is granted to researchers, but challenges exist regarding the integration of electronic medical records (EMRs).
• Taiwan's Personal Data Protection Act imposes restrictions on EMR access, requiring patient consent for specific data usage.

Purpose of the Study:

• To explore legal solutions for TWB's access to EMRs.
• To ensure TWB's EMR access complies with legal obligations and ethical governance.
• To address the ethical, legal, and social implications (ELSI) of data sharing.

Main Methods:

• Analysis of legal frameworks governing data protection in Taiwan.
• Exploration of technical solutions for data anonymization and linkage.
• Review of ethical considerations for biomedical research databases.

Main Results:

• Current data protection laws restrict broad EMR access for research purposes.
• Hash function algorithms present a viable method for creating anonymized, nonretrospective data.
• This approach facilitates cross-transmission and linkage with EMRs while respecting privacy.

Conclusions:

• Implementing hash functions can enable secure and legal EMR data linkage for TWB research.
• This strategy balances the need for comprehensive data with patient privacy rights.
• Adopting such methods is essential for advancing precision medicine ethically and legally.