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Sanofi: Accelerating study phases through a centralised clinical data platform

Development of an internal platform for centralizing and visualizing clinical trial data, to reduce delays and improve data quality.

Context

In June 2025, Smarttrials, the external SaaS platform used to centralize clinical trial data, was decommissioned.

To avoid any interruption and accelerate its trials, Sanofi R&D Accelerator decided to launch Clinshow, an internal platform that centralizes and visualizes clinical data in order to:

  • Unifying collaboration across teams on patient data, feedback, and queries
  • Facilitate data exploration and validation through interactive dashboards
  • Integrate machine learning to automate data quality control

The objective: to reduce the cycle time of clinical trials and to secure the continuity of critical activities.

Challenges

  • Progressive migration of 108 dashboards and 50 clinical studies without interrupting operations
  • Quality management and data validation without a centralized “source of truth” and with inconsistent definitions
  • Integration with internal authentication systems (SSO and CIlogin) and team alignment
  • Adherence to GCP (Good Clinical Practices) standards without slowing development

Our approach

A team of 5 people (a Product Owner, three Data Engineers and a Health Expert) was mobilized to deliver quickly while ensuring regulatory compliance:

Just-in-Time

Use of Kanban and DORA metrics to quickly identify bottlenecks, focus efforts on critical points, and maintain smooth delivery that is aligned with business value.

Tech Enabled Acceleration

Use of GenAI to automate documentation and validation (User Requirements, traceability, qualification via CI/CD logs as proof of deployment).

Deploying GenAI agents

Reduced data domain migration time from 3 man-days to just 10 minutes, ensuring fast, reliable, and compliant delivery.

“The close collaboration between our teams and Theodo allowed us to deliver Clinshow within ambitious deadlines while respecting regulatory requirements, a real accelerator for clinical R&D.”

Our impact

€1.8 MILLION

saved every year thanks to the discontinuation of the old SaaS platform and the improvement of efficiency

1 week

instead of 5 weeks of “database lock” delay before statistical analysis.

33%

reduction of the medical review cycle.

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