# BRIDGE pilot study: a bilateral regulatory investigation of data governance and exchange

**Authors:** Helen X. Hou, Tom Bisson, Sophia M. Leiss, Julia Thierauf, Ariel D. Stern, Hendrik Strobelt, Felix Nensa, Alena Buyx, Katharina M. Huster, Kira Furlano, Zisis Kozlakidis, Sachin Gupta, Danko Kostadinov, Peter Boor, Anna Slagman, Thorsten Tjardes, Pierre Cholet, Nick K. Schneider, Thorsten Schlomm, Saskia Biskup, Rainer Röhrig, Fruzsina Molnár-Gábor, Uta Schmidt-Straßburger, Katharina Ladewig, Marcel Weigand, Daniel Pinto dos Santos, Jason M. Johnson, Toralf Kirsten, Eric Sutherland, Norman Zerbe, Albert Hofman, Ralf Heyder, Georg Schmidt, Jochen K. Lennerz

PMC · DOI: 10.1038/s41746-025-02322-6 · NPJ Digital Medicine · 2026-02-17

## TL;DR

This study addresses legal and regulatory challenges in sharing health data between the EU and US to support cross-border medical research and AI innovation.

## Contribution

The study introduces a 30-step framework for compliant and interoperable EU-US health data collaboration through expert consensus.

## Key findings

- Experts developed a 30-step framework across three phases for transatlantic health data exchange.
- The framework emphasizes secure protocols and early data protection assessments.
- Ongoing stakeholder input ensures adaptability and scalability of the framework.

## Abstract

National privacy laws diverge between the European Union and United States, hindering transatlantic health data exchange and slowing AI-driven medical innovation. In response, the German Ministry of Health launched the pre-competitive Data for Health initiative, leading to the BRIDGE Pilot Study (2023–2025), a researcher-led effort to address this regulatory and legal gap. Using a mixed-methods approach, including structured surveys (n = 56 expert responses), ranking of steps via relative importance indexing, and 4 Delphi meetings, experts co-developed a practical framework composed of 30 steps in 3 consecutive phases for legally compliant and technically interoperable EU-US health data collaboration. The framework emphasizes early data protection assessments, secure transfer protocols, and iterative governance checks. The final consensus framework provides a stepwise guide to navigate regulatory and legal complexities and operationalize cross-border research. Ongoing input from researchers and stakeholders will help ensure the framework remains adaptable and provides a clear, scalable foundation for cross-border health data exchange.

## Full-text entities

- **Diseases:** Cancer (MESH:D009369), fatigue (MESH:D005221)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

24 references — full list in the complete paper: https://tomesphere.com/paper/PMC13022335/full.md

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Source: https://tomesphere.com/paper/PMC13022335