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Artificial intelligence and blockchain in clinical trials: enhancing data governance efficiency, integrity, and
Víctor Leiva1, Cecilia Castro2
1School of Industrial Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile.
Bioanalysis
|January 23, 2025
Summary
Blockchain and artificial intelligence (AI) integration can significantly improve clinical trial data governance, enhancing integrity, efficiency, and transparency while addressing privacy and security concerns.
Area of Science:
- Health Informatics
- Computer Science
Background:
- Clinical trials face challenges in data integrity, operational efficiency, and transparency.
- Patient data privacy, regulatory compliance, and security are critical concerns in clinical research.
Purpose of the Study:
- To examine the integration of blockchain technology and artificial intelligence (AI) in clinical trials.
- To assess the combined potential of blockchain and AI for enhancing data governance in clinical trials.
Main Methods:
- In-depth analysis of recent advancements in blockchain and AI for clinical trials.
- Review of literature on challenges and barriers to adoption.
- Identification of strategic directions for integration.
Main Results:
- Blockchain and AI integration can address critical challenges like patient data privacy, regulatory compliance, and security.
- Key barriers include scalability, integration with existing systems, and implementation costs.
- The synergy offers process automation, improved stakeholder trust, and robust transparency.
Conclusions:
- The integration of blockchain and AI holds transformative potential for clinical trials.
- Strategic implementation can overcome adoption barriers, revolutionizing clinical trial processes.
- This synergy is key to advancing trustworthy and efficient clinical research.
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