CLADE-IS®

Our flagship product: CLADE-IS®

Proudly referred to as “Built by CRO for CROs” and “practice-tested EDC system,” CLADE-IS® demonstrates both our commitment and its focus on the quality of managed data. CLADE-IS® simplifies the clinical research data collection process. It is secure, intuitive, and, when it comes to its customization options, truly robust. The responsive design is a given.

System description

Robust eCRF design

The eCRF creation tool allows for easy customization of forms to meet specific study requirements. It focuses on user clarity and efficient data collection.

Flexible access management

The system features robust user role and permission settings, including definable form statuses, ensuring maximum control over data access.

Intuitive and ergonomic user interface

Simple navigation and a clear interface make it easy for all users to interact with the system.

Customizable data view

Adjustable dashboards and customizable reports provide instant access to data for efficient monitoring and decision-making.

Agile development in-house

Agile development within our team enables quick and effective software updates, with changes co-created by the people who use the tool every day.

CLADE-IS up close

CLADE-IS consists of four components that together ensure efficient, convenient, and secure data collection and storage:

  1. Adminer handles the management of user rights and roles within research centers,
  2. Designer is used for creating electronic data collection forms,
  3. Study facilitates the entry of healthcare data, and
  4. Reporter is the tool for downloading data in the form of reports and exports.

Our CLADE-IS also offers a RESTful API, enabling easy integration with other systems — whether healthcare, technical, or otherwise. This feature ensures smooth data transfer and efficient connection with existing platforms.

With a strong focus on security, we regularly test our EDC system with an ethical hacker who simulates real-world cyberattacks to identify vulnerabilities. Our system passes penetration testing without revealing any weaknesses, confirming the high level of security of our system and services.

For more information about our EDC system, click here.

Publications

  1. Churova V, Vyskovsky R, Marsalova K, Kudlacek D, Schwarz D. Anomaly Detection Algorithm for Real-World Data and Evidence in Clinical Research: Implementation, Evaluation, and Validation Study. JMIR Medical Informatics. 2021;9(5):e27172. doi:10.2196/27172

What customers say about the product

Offer

Our software is available in two versions:

Interested in this software?

Contact us. We’d be happy to show it to you and discuss the next steps.