Synthetic data for clinical research and innovation: opportunities, challenges and future directions
Year: 2025
Type: article
Abstract: Data form the backbone of modern health care, driving improvements in patient care, enabling clinical research and supporting public health initiatives. The demand for high-quality individual-level data is growing, with electronic health records and clinical trial data offering critical opportunities for secondary analyses, hypothesis testing and methodological innovation. However, accessing and sharing this high-quality real-world data to enable personalized care and to respond to rapidly changing conditions is often limited by strict privacy requirements and complex regulations. This perspective highlights the promise of synthetic data in enabling research access, accelerating artificial intelligence development and supporting clinical trials while also discussing key barriers, including legal and ethical uncertainty, re-identification risk and the need for standardized validation frameworks. In this context, synthetic data present a promising path forward by enabling research while addressing privacy concerns, streamlining administrative processes and decreasing costs.
Author: Mattia Delleani
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,170
OpenAlex ID: W4416447514