This update reviews real-world evidence in health technology assessment, revealing the impact of information bias and emerging synthetic data solutions.
In this update, we review a framework for identifying and mitigating information bias in electronic health records and administrative claims data, highlighting practical recommendations for study design, variable definition, and statistical analysis. We also discuss a perspective on emerging privacy-preserving technologies - synthetic data and federated networks - that enable secure cross-border data access while maintaining patient privacy.
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Arora et al. (2026) studied this question.
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