Balancing Risks and Opportunities: Data-Empowered-Health Ecosystems

Area of Science:

• Health Informatics
• Data Governance
• Digital Health

Background:

• Digitization of healthcare systems has progressed, but data sharing and interoperability remain significant barriers.
• The full potential of health data remains unrealized due to limitations in current data ecosystems.
• Emerging platforms like social media are increasingly used for health information, yet their integration with formal systems is limited.

Purpose of the Study:

• To address challenges and opportunities in the data-for-health ecosystem.
• To identify critical needs for timely, safe, efficient, and sustainable health data collection and sharing.
• To explore risks associated with health data ecosystems, including privacy, security, and governance.

Main Methods:

• Viewpoint paper based on insights from a multistakeholder workshop.
• Analysis of current challenges in health data sharing and interoperability.
• Discussion of emerging trends and potential solutions for data-for-health ecosystems.

Main Results:

• Key challenges include poor interoperability, inconsistent data governance, and data commodification concerns.
• Risks related to privacy, data protection, security, governance, and exclusion hinder progress.
• Stronger frameworks for governance, interoperability, and citizen engagement are needed to build public trust.

Conclusions:

• Reframing health data as a common good, improving transparency, and using APIs for real-time access are essential.
• International norms and standards, with multisector leadership, are crucial for multinational data sharing.
• Balancing risks and opportunities is vital for a socially acceptable, secure, and effective healthcare data-sharing ecosystem.