Book a demo
Book a live 1:1 demo with one of our expert.
Trusted by 200+ Clients Worldwide
10,000+ Clinical Trials
Simplified Clinical Trial Management
100% Compliant and Secure Solution
A Complete and Agile Platform
How Biwako moved from fragmented data to a structured clinical environment.
Biwako is an organization specialized in clinical research, health data structuring, and biobanking. Founded by Prof. Marie Brevet, a pathologist with a hospital and academic background, Biwako supports projects requiring rigorous data collection, structuring, and analysis of health data.
The company designs and manages clinical studies and data research while building structured data environments that ensure data quality, traceability, and long-term usability.
The Challenge:
When Excel is no longer enough
At the start of its activity, a key challenge quickly emerged: implementing reliable and credible data management without a dedicated data management team. Choosing the right tools became critical to establish strong foundations from the very first studies.
Like many early-stage organizations, Biwako initially relied on Excel. A simple and flexible solution, but one that quickly showed its limits as projects grew in scale.
With multiple centers involved, data became difficult to harmonize. Files evolved independently, making data consolidation complex and uncertain. This fragmentation increased the risk of errors and complicated validation processes.
At the same time, regulatory requirements related to health data imposed a level of traceability and control that is difficult to achieve with general-purpose tools.
Beyond operations, a credibility issue emerged. In an environment where data quality and data structuring are critical, continuing to rely on Excel no longer met expected standards.
The Solution:
Building a structured environment without complexity
To address these challenges, Biwako decided to implement an eCRF. After evaluating several solutions, Datacapt stood out as a platform capable of delivering both structure and simplicity.
The solution enables data centralization within a single environment while standardizing data collection across centers. Study monitoring becomes clearer, with real-time visibility into patient enrollment and overall progress.
Access management, traceability, and data quality control mechanisms are built in natively, allowing compliance with regulatory constraints without adding operational burden.
A key factor was accessibility. Datacapt provides fast onboarding without requiring advanced data management expertise, perfectly matching Biwako’s organization.
.jpg)
Implementation: Rapid adoption supported by guidance
The implementation followed a progressive approach, with an initial focus on structuring studies and forms.
Support and guidance played a key role during this phase. The availability of the support team helped secure early steps, provide quick responses, and accelerate team onboarding.
This combination of ease of use and support enabled fast adoption without disrupting operations
We needed to structure our data without adding operational burden.
Datacapt helped us achieve this quickly!
The Impact: Centralize, standardize, simplify
The impact was visible from the very first studies.
Data centralization eliminated multiple manual manipulations and manual data consolidation. Where Excel required multiple files and introduced inconsistencies, Biwako now operates with a single, coherent, and usable data set.
It became clearer, allowing faster identification of delays or data anomalies and enabling immediate action.
Data quality also improved thanks to structured rules and built-in controls.
While the configuration phase requires some initial effort, the benefits quickly become significant as data volume or the number of centers increases
Looking Ahead:
Building strong foundations for the future
Moving to Datacapt marks a shift in how Biwako approaches its projects.
Beyond the tool itself, it represents a transformation in data management, bringing more rigor, visibility, and reliability.
For a growing organization, this approach enables the creation of strong foundations capable of supporting increasing study volumes without introducing unnecessary complexity.
