Data-driven health and research management platform Innovation in Healthcare

  • Client:
    Service provider for the medical care units, USA.
  • Request:
    Development of a data-driven health and research management platform.
  • Result:
    Successful product launch in the healthcare market. Compliance with all regulatory and ethical standards of modern medical centers.
  • Technologies:
    • .NET
    • C#
    • DevExtreme
    • DevExpress
    • AAD
    • Microsoft Azure
    • JavaScript
    • CSS
    • HTML


The project was ordered by the US-based software development company. The organization provides solutions for the life science industry to innovate and ultimately deliver better outcomes for healthcare and patients. Realizing the rapid changes in the healthcare landscape, our client actively applies Human Data Science, an approach that advances understanding of human health, addresses the challenges the healthcare sector is facing, and allows making the most informed decision possible.

The company ordered us to develop a data-driven health and research management platform. The organization launched its most ambitious mission in a bold attempt to help healthcare companies manage, analyze, correlate, and integrate their data.

The most important criteria for selecting the right partner fit for our client’s business was the ability to handle and prioritize multiple tasks as well as to have niche expertise in healthcare. Our team of developers met all of these criteria.

Initially, the company hired us to provide technical support and improve one of their products. Managers admire our Agile-based work approach, competence, and level of expertise. Therefore, the company entrusted us with an ambitious project – to develop a new innovative product for healthcare and medicine.

Since the company did not have an in-house development team, we were responsible for the entire platform: UI/UX design, business analysis, project management, functionality development, and testing (both manual and automated).


As our team had to build the platform from scratch, it was problematic to put in words all the requirements immediately. Under these conditions, we worked with our client by bringing Agile methodology and developing requirements gradually – from sprint to sprint.

Our team's active participation in developing requirements kept work moving forward and productive: we offered a wide range of solutions to the client to achieve high performance of the app and cooperated to create the application architecture and database.

As a result, the entire system was divided into two parts: the admin dashboard & control panel and the client-side, respectively.

  • Customization & Project Management Modules
    The developed functionality allows medical centers to manage and organize their own medical research projects.

    The modular platform can be fully customized for the needs of a particular client. Its modules deal with all stages of a medical institution's work: from patient management to workflows and reports.
  • Data Security
    The Cogniteq developers hosted the platform on the Microsoft Azure cloud server. This solution solved the issue of personal data protection and made the application compliant with the latest GDPR and HIPAA requirements for clinical trials in the U.S. and the EU.

    Geo-storage allows users to store data on the server of any country they prefer and to comply with the sensitive data protection regulation.
  • EDC
    The Cogniteq team developed a comprehensive, flexible, and secure EDC (Electronic Data Capture) that takes into account all the specifics of organizational workflows in medical centers. EDC manages multiple versions of case report forms (CRFs) and provides seamless data migration into new report forms.

    While working with EDC, our team went beyond traditional EDC and developed additional features for enhanced data management and reporting capabilities. Our experts made it easy to customize CRFs, workflows, source document verification requirements, data blinding, and more.
  • Immediate Data Transfer
    The software includes the latest compression technology, which provides immediate and automated tracking of transfer of large-scale datasets, such as ANGIO, MRI, or ECHO.
  • Analytics
    The Cogniteq team equipped the system with a variety of interactive analytical tools that allow the application to analyze data and make the right decisions in a matter of seconds. Users can easily visualize the received data and create informative reports.

    Thanks to predictive analytics capabilities, users can achieve better healthcare outcomes and identify the most valuable digital technologies to improve patient care and the patient experience.
  • Data Visualization
    Our experts developed functionality for data visualization since such tools provide users with an easier way to create visual representations of large data sets and help make better data-based decisions. By visualizing personal health records, the system can create health portrait and make decisions about medical treatment.
  • Correlation
    The platform enables to visualize data correlation with personalized dashboards from nearly any device running on all major operating systems and create a 360-degree view of health and research project.
  • Dashboard Technology
    Our experts created intuitive design and dashboards. The integration with Microsoft Power BI makes it possible to monitor the organization's most important data and produce rich interactive reports.
  • Augmented Intelligence
    The system uses the augmented intelligence technology that helps health care providers make faster and more precise diagnostics. In its turn, it increases the value of AI-assisted analysis, improves the quality of patient care, and reduces healthcare costs.
  • Adaptability
    One of the essential features of the platform is the ability to control data from any device across all major operating systems.
  • Integration
    The system has unlimited integration possibilities. Medical and healthcare companies can integrate data warehouses, any clinical information systems (e.g. ePRO, CTMS, health files, patients' individual medical records), and consumables (e.g. neurological devices, biosensors, continuous glucose monitors).

    After a one-time import of data from internal data resources, the data is continuously integrated with the system.
  • Connection with Devices
    The application can be connected to any medical device, for instance, neurological devices, biosensors, ECG, glucose monitors, and other vital-sign sensors, enabling staff to monitor multiple patients remotely.

Technical hurdles

The project appeared quite complicated as we had to introduce numerous statements, i.e. formulas and expressions for complete automation of medical decision-making.

The Cogniteq team needed to write the program, as well as to support a complete CMS configuration.

Working with data centers also proved challenging. The global system data is stored on a certain server, while the data of diverse clinics and medical centers is transferred to servers in different countries and cities around the world. We had to develop a distributed system: to provide enough interaction between multiple points for storing data. The accomplishment of this task contributes to system scalability.


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    The platform has gained a lot of success in the healthcare market. Hundreds of medical centers around the world have become clients of the organization and fallen in love with the product.
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    According to users' feedback, the platform has been recognized as a driver of enhanced clinical outcomes. The system meets all the requirements of modern clinics and paves the way for open innovation practices.
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    The application has become our client's most profitable product ever.