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How Beiersdorf Scaled Multiple Global RWE Studies with Datacapt
Beiersdorf is one of the most trusted names in skincare, known globally for its iconic brands like NIVEA, Eucerin, and La Prairie. With a rich history dating back to 1882, Beiersdorf has consistently pushed the boundaries of innovation in the health and wellness sector.
As part of their commitment to continuously improving their products, Beiersdorf aimed to elevate their clinical research capabilities to facilitate the execution of larger, globally synchronized studies. Beyond gathering valuable clinical data, these programs frequently involve the collection of massive volumes of images. This visual data is used to train AI algorithms, further advancing Beiersdorf’s ability to develop cutting-edge dermocosmetic solutions.
The Challenge: Managing Global Studies at Unprecedented Scale
Running studies of such magnitude involving over five thousand participants across +500 sites presented significant challenges. Beiersdorf needed a solution that could seamlessly handle massive volumes of data, ensuring consistency across all sites and geographies. Studies also required capturing both clinical data and patient-reported outcomes (ePRO), along with thousands of images and questionnaires, all while staying compliant with global regulatory standards.
In addition, Beiersdorf sought a solution that was not only powerful but also easy to use and intuitive for all sides: the Beiersdorf team, staff and participants, ensuring seamless adoption and making the process simple for everyone involved.
Key challenges included:
- Coordinating 500+ sites across multiple continents, each with its own languages and local regulations.
- Managing a huge amount of data, handling hundreds of thousands of questionnaires and several terabytes of image files, ensuring everything remains reliable and easily accessible.
Ensuring compliance with regulatory frameworks like GCP and GDPR, especially in the handling of sensitive patient data.
The Solution:
A Scalable eClinical Platform for Global RWE Studies
To tackle these challenges, Beiersdorf turned to Datacapt. This comprehensive eClinical platform was designed to provide real-time data collection, validation, and monitoring across global studies of this scale. The Datacapt platform helped Beiersdorf manage every aspect of their studies from data entry to monitoring.
Across these various studies, Datacapt supported:
- eCRF (Electronic Case Report Form): A streamlined way to collect clinical data in real time, ensuring high-quality, consistent data across all study sites.
- ePRO (Electronic Patient-Reported Outcomes): A user-friendly, mobile-first solution that enabled patients to effortlessly share their pictures, clinical assessments, and satisfaction surveys throughout the study duration, significantly boosting participant engagement.
- Real-Time Monitoring: Instant access to data from all sites allowed for quick identification and resolution of issues, reducing delays and ensuring study timelines were met.
DATACAPT played a crucial role not only by providing the platform but also through extensive training and support throughout the studies. The team worked closely with Beiersdorf to ensure that the studies were designed efficiently, helping to optimize the eCRF and ePRO design for smooth data collection. Regular training sessions and ongoing support ensured that the teams across all sites were fully equipped to use the platform, keeping the studies on track and ensuring that timelines were met.
A Concrete Example of Scale
Among Beiersdorf’s global RWE programs, one study alone enrolled over 3,500 participants across 250 dermatology sites worldwide.
Over the course of the study, participants submitted thousands of images, representing approximately 56 days of data collection and multiple surveys per participant. In total, this involved over 200,000 questionnaires, 500,000 images and 4TB of image files.
This large-scale image collection played a critical role in supporting AI-driven analysis initiatives, enabling deeper insights into product performance and efficacy while maintaining high data quality and regulatory compliance standards.
This study serves as a concrete illustration of the operational scale at which Beiersdorf now conducts its broader global RWE portfolio.
"With Datacapt, we are able to approach our studies in an entirely new way. The platform unlocks opportunities we simply did not have before"
The Impact: Transforming the Way Clinical Research Is Done
By leveraging the Datacapt platform, Beiersdorf has been able to:
With real-time data streaming from sites worldwide, the team could quickly analyze and make data-driven decisions, significantly speeding up the study process.
The platform’s automated data validation ensured that all clinical and survey data from both sites and participants remained accurate and reliable. Beiersdorf was also able to maintain compliance with GDPR and GCP fully, guaranteeing data security and participant privacy throughout the entire study lifecycle.
Across multiple programs, hundreds of thousands of images were securely collected, centralized, and made usable for advanced analysis initiatives. The platform enabled high-volume image capture without compromising operational timelines or participant experience.
Looking Ahead:
Beiersdorf’s Continued Commitment to Innovation
Beiersdorf’s global RWE studies are not just a triumph of technology; they represent a step forward in how clinical research can be done at scale, with greater efficiency, data quality, and patient engagement. The company uses insights from its studies to refine its products, ensuring they meet the highest standards of safety and effectiveness for consumers worldwide.
These large-scale studies are a perfect example of how Beiersdorf is committed to using real-world data to drive better clinical outcomes and build even stronger, more effective skincare solutions for its customers. With the insights gained from these global RWE studies, Beiersdorf is well-positioned to continue advancing skincare research and drive innovation for years to come
