France Médicale brings together information covering the entire French medical sector, from regulatory developments to technological advancements. Several structural changes occurred in the second half of 2026: a new European framework for medical AI, the reorganization of digital health governance, and pricing adjustments for remote monitoring. These topics outline the contours of a rapidly transitioning healthcare system.
European Regulation on Medical AI: a deadline pushed to August 2, 2028
The European regulatory framework applicable to artificial intelligence integrated into medical devices has been modified by the “Digital Omnibus” regulation, published on July 24, 2026. The specific requirements for these systems are now expected by August 2, 2028, marking a delay from the initial timeline.
This shift has a direct consequence for manufacturers and publishers of medical software. They now have additional time to adapt their products to compliance standards, but this window does not suspend the existing obligations regarding the safety of traditional medical devices.
The news on France Médicale allows you to follow the evolution of this regulatory timeline, which conditions the market launch of many algorithm-assisted diagnostic and monitoring tools.
The delay also raises a practical question: hospitals that are already testing AI solutions in imaging or clinical decision support operate within a still incomplete legal framework. The absence of definitive rules hinders some large-scale deployments, even when clinical results are promising.
Digital Health Governance: DGRINES and its four sub-directorates
France has restructured its public governance of digital health with the creation of the DGRINES (General Directorate of Digital Health). This directorate will be organized into four sub-directorates starting November 1, 2026.
Its scope covers the security, interoperability, and ethical rules applicable to digital health services. In practice, this means that a centralized body will set the technical standards that software publishers, teleconsultation platforms, and health data hosts must comply with.
Why Interoperability Remains a Sticking Point
A hospital using an electronic patient record from publisher A cannot always transmit this data to a clinic equipped with system B. This technical siloing slows down the patient journey and generates costly manual re-entries in medical time.
The DGRINES will need to impose common exchange formats. Without effective interoperability, the promise of digital health remains theoretical. Healthcare professionals are waiting for concrete specifications, not just intentions.
Medical Remote Monitoring: Pricing Operational Since September 2026
The decree of September 14, 2026, which came into effect two days later, sets the flat rate for medical remote monitoring activities listed under Article L. 162-52 of the Social Security Code. This text marks the transition from an experimental phase to a stabilized economic model.
For operators of digital medical devices, this pricing finally provides financial visibility. A manufacturer of connected sensors for monitoring diabetic or cardiac patients now knows what reimbursement to expect, which facilitates investment decisions.
The PECAN System: Early but Temporary Access
The PECAN system allows for early coverage of a presumed innovative digital medical device. A few conditions frame this mechanism:
- The maximum coverage duration is one year, with no possibility of automatic renewal.
- The company must submit a clinical evidence dossier to obtain sustainable reimbursement after this period.
- The innovative nature of the device is evaluated based on its contribution compared to existing solutions, not just its technological novelty.
PECAN accelerates market access but does not exempt from clinical evidence. MedTech startups must anticipate the cost and duration of the studies necessary to transition from provisional to permanent reimbursement.
Generative AI in Hospitals: Current Uses and Limits
Several French hospitals are exploring generative AI in hospitals for various uses: assistance in writing medical reports, synthesizing patient files, and aiding in the coding of procedures. The approach remains cautious, with hospitals testing these tools within defined parameters before considering widespread deployment. Questions regarding the confidentiality of health data and liability in case of algorithmic error remain open.
What Generative AI Concretely Changes in Hospital Settings
An emergency physician receiving a patient with a large file can use a generative AI tool to obtain a structured summary in a few seconds. The time savings are real, provided the practitioner systematically verifies the produced result.
- The writing of hospitalization reports, a time-consuming task, can be partially automated.
- The coding of medical procedures (necessary for hospital funding) benefits from algorithmic assistance that reduces entry errors.
- The analysis of scientific literature to update care protocols becomes faster thanks to the synthesis capabilities of these models.
These uses remain framed: AI assists the healthcare professional; it does not replace their clinical judgment. The distinction between an aid tool and a decision-making tool conditions the acceptability of these technologies by healthcare teams.
The second half of 2026 will thus have laid several structural milestones for digital medicine in France. The postponement of the European timeline on medical AI to August 2, 2028, the effective establishment of the DGRINES, and the stabilization of remote monitoring pricing form a coherent regulatory triptych. The next step will be to measure whether these frameworks produce concrete effects on the ground, in hospital services and private practices.
