Structuring medical data: MAGE-X, the solution that unlocks your clinical records

Medical data represents a treasure trove of information for improving care, optimising clinical decisions and advancing research. Yet the majority of this data remains buried in unstructured records, impossible to exploit effectively. Handwritten reports, disparate clinical notes, paper questionnaires: valuable information that remains unused for lack of appropriate tools.

Physicians, surgeons and healthcare organisations face this challenge every day: how to unlock the value of existing medical information without adding to the workload? This is exactly why software to structure medical data such as MAGE-X becomes essential.

The challenges of structuring medical data

In clinical practice, most information is unstructured. This textual mass, although clinically rich, remains difficult to analyse, compare or aggregate. The consequences are multiple:

• medical time lost searching for information
• difficulty tracking patient progress
• inability to leverage collective clinical experience
• major barrier to research initiatives

Physicians spend a growing share of their time on administrative tasks to the detriment of patient care. Manual data entry, searching for scattered information and extracting data for studies represent burdens that weigh on their daily work.

Add to this a strict regulatory framework: health data is subject to GDPR and the CNIL MR-004 reference framework. Any structuring solution must guarantee the highest level of security and compliance, which rules out generic tools.

MAGE-X: artificial intelligence at the service of your medical data

MAGE-X is a SaaS artificial intelligence platform specifically designed to structure and unlock the value of medical data already present in clinical records. Its strength lies in its ability to integrate into existing practices without disrupting them.

How does MAGE-X work?

The software uses AI to automate three key processes.

First, automated data extraction from multiple sources: operative reports, consultation notes, questionnaires, test results. The algorithms analyse medical natural language with its terminological specificities and abbreviations.

Then, structuring and normalisation according to standardised reference frameworks. This normalisation ensures data consistency over time and enables its use for analysis or research purposes. MAGE-X thus transforms disparate textual information into structured clinical data that can be used directly.

Finally, valorisation through intuitive interfaces and a natural language analysis engine that allows simple querying of clinical databases to extract relevant insights.

Concrete benefits for healthcare professionals

For physicians and surgeons

• Optimised medical time: by automating collection and structuring, MAGE-X frees up valuable time that practitioners can devote to care. No more spending hours manually compiling data.
• Augmented clinical decision support: the software offers augmented consultation by integrating structured, coherent data in real time. Practitioners access insights that inform their diagnostic and therapeutic decision-making, quickly compare similar cases and track the effectiveness of treatment strategies.
• Optimised patient follow-up: thanks to data structured over time, MAGE-X provides a clear view of each patient's progress, facilitating adaptation of care plans and anticipation of complications.

For researchers and organisations

• Facilitation of clinical research: MAGE-X transforms data access for research. Researchers have structured data that is immediately usable for their scientific studies. Building cohorts and extracting data for publications become smooth processes.
• Collective valorisation: by structuring and aggregating data from multiple practitioners, MAGE-X enables capitalisation on collective experience and emergence of insights impossible to identify at the individual level.

For healthcare industry players

MAGE-X enables pharmaceutical laboratories and medical device manufacturers to access structured, reliable real-world data, essential for product development, post-market studies and regulatory processes.

Security and compliance: the pillars of MAGE-X

MAGE-X is designed in strict compliance with GDPR and CNIL requirements (MR-004 reference framework). Data is processed according to the highest standards for health data protection, with hosting on certified servers and complete mechanisms for encryption, access control and traceability.

This native regulatory compliance distinguishes MAGE-X from generic data analysis solutions and guarantees the trust of practitioners, patients and health authorities.

Continuously improving AI

MAGE-X incorporates machine learning mechanisms that progressively improve the accuracy of analyses and avoid hallucinations. The software adapts to the specificities of each medical specialty and continuously refines its algorithms.

Developed in close collaboration with physicians, surgeons and experienced AI experts, MAGE-X ensures that its features meet real-world needs and integrate naturally into existing clinical workflows.

Why choose MAGE-X?

• Healthcare specialisation: unlike generic tools, MAGE-X was specifically designed for healthcare. This specialisation translates into a deep understanding of medical challenges, mastery of clinical vocabulary and native respect for regulatory constraints.
• Non-disruptive approach: the software works from data already present in records, without imposing new cumbersome data entry processes.
• Clinical excellence and innovation: backed by a team combining experienced surgeons, AI experts and digital transformation specialists, MAGE-X reconciles clinical excellence and technological innovation.

Conclusion

Faced with growing challenges in valorising health data, MAGE-X positions itself as the reference software for structuring medical data. By automating extraction and structuring, guaranteeing regulatory compliance and offering intuitive exploitation tools, MAGE-X unlocks the potential of clinical data.

More than a technical tool, MAGE-X embodies a vision of modern medicine where structured data becomes a lever for improving quality of care, optimising medical time and accelerating research.

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