Health Data Analytics: A Key Challenge for Clinical Research

Today, a major obstacle remains in clinical research: the complex, time-consuming, and sometimes incomplete analysis of medical imaging data. So how can connected tools help overcome these challenges?

At Keymaging, we have been developing an approach centered on structured medical intelligence for several years. This structured data provides an essential foundation for reliable and effective use in clinical research.

However, their value depends on one essential prerequisite: reliable, reproducible image analysis that has been validated by rigorous clinical studies.

A partnership dedicated to innovation

As part of this initiative, we have been collaborating for the past two years with Avicenna.AI, a company specializing in the development and commercialization of artificial intelligence solutions for medical imaging, particularly in emergency settings.

In order to be recognized as medical devices, these solutions require robust validation through clinical studies.

While Keymaging organizes and ensures the reliability of data, Avicenna.AI provides fast, automated image analysis.

Together, we are developing practical applications in radiology, particularly involving cranial CT scans in emergency settings or the detection of pulmonary embolism.

This research was presented at the JFR Urgences conference, a leading event that brings together key players in medical imaging and healthcare innovation.

We look forward to seeing you there every year at the Télédiag booth, our long-standing partner in teleradiology, alongside Avicenna.AI.

Practical tools to improve practice

Thanks to automated pre-analysis of test results, prioritization of critical cases, and diagnostic support combined with structured data (eliminating the need for time-consuming manual data extraction) our solutions save time every day.

They also help standardize practices and improve the quality of the data produced, making it more reliable and suitable for analysis.

A direct impact on clinical trials

Structuring data upstream radically transforms clinical research. Data extraction becomes automated, and integration into study databases is simplified. Data completeness is improved, and cohort formation is accelerated.

For clinical research, this means less time wasted, fewer errors, and greater value derived from the collected data.

Synergy in the service of clinical research

By combining data structuring with Keydiag® by Keymaging and intelligent image analysis by Avicenna.AI, we help reduce interpretation time, streamline the radiology workflow, improve patient care, and accelerate clinical research projects.

Major opportunities

This approach opens up key opportunities for faster access to high-quality data, reduced operational costs, and more robust studies.

By bringing data, artificial intelligence, and clinical research together, we are laying the groundwork for more efficient and agile research.

Integrating solutions that combine image analysis and data structuring is no longer an option, it is a key driver for accelerating, enhancing the reliability of, and adding value to your clinical trials.

Are you working on a clinical research project that involves imaging? Are image analysis and data structuring key components? Let’s discuss your challenges, contact us.