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.
Arora et al. (Tue,) studied this question.