What indicators allow us to distinguish a truly useful solution for health and wellness professionals from a mere additional digital tool? Between public calls for projects that now require evidence of real-world adoption and private offers focused on automation, the sector is going through a period where technological promise is no longer enough. Measuring the concrete impact on the ground becomes the sorting criterion.
Proof of use and real-world adoption: the new funding filter
Healthcare and wellness professionals are facing an abundance of digital tools. The difficulty is no longer accessing an innovation, but verifying that it works in the field, with real patients and real organizational constraints.
The ANS and the DNS launched a call for projects in 2026 titled “Adoption of Innovations.” Its specifications break with the usual logic: it does not fund the design of a product, but the validation of need and real-life evaluation. Project leaders must propose protocols for acceptability, usability, and real-world adoption in the healthcare sector.
This shift changes the game for professionals seeking reliable solutions. A tool funded under this framework has passed a filter that most health applications on the market have never passed. For wellness practitioners as well as for healthcare organizations, this public requirement provides a concrete reference in a saturated market. Resources like the Santé Radieuse website for professionals compile solutions evaluated based on their field relevance.
AI solutions in healthcare: where does funding priority stand
The same specifications of the “Adoption of Innovations” 2026 call specify that AI-based solutions are “particularly expected”. This explicit mention reflects a change in institutional posture: AI is no longer a subject of monitoring; it is a priority funding axis for the sector.
However, the requirement for proof of use applies with the same rigor. A patient data sorting algorithm or an AI administrative management assistant must demonstrate its real adoption by teams, not just its technical effectiveness in the lab.
| Criterion | Classic approach (pre-2026) | “Adoption of Innovations” approach (2026) |
|---|---|---|
| Funded object | Technological development | Validation of need and evaluation protocol |
| Target phase | Design and prototype | Testing in real-world conditions |
| Role of AI | Optional | Priority and explicitly expected |
| Main indicator | Technical performance | Acceptability and adoption by professionals |
| User involvement | One-time consultation | Usability studies integrated into the project |
This table highlights a clear gap. Companies and startups designing tools for the health sector must now integrate usage evaluation from the funding phase, not at the end of the process.
Decentralized health and telemedicine: models that go beyond walls
The AMI “Innovative Offer in Decentralized Health and Telemedicine,” launched as part of France 2030, targets a structural problem: medical deserts. The solutions being tested include teleconsultation booths, modular or mobile health houses, and augmented telemedicine installed in publicly accessible locations.
For wellness professionals working in under-served areas, these devices open up concrete prospects. An isolated practitioner can rely on a telemedicine infrastructure to expand their offerings without leaving their territory. The logic is no longer to move the patient to the specialist but to bring expertise where people live.
Conversely, these decentralized models raise questions about data interoperability. Cross-border European projects are working on the European Health Data Space (EHDS) to ensure that patient information circulates securely between systems. Data interoperability is crucial for the success of decentralized telemedicine.
What these devices change for an office or organization
A healthcare or wellness professional considering integrating telemedicine into their practice must check several points before committing:
- Does the chosen solution have a real-world evaluation protocol, or does it rely solely on technical demonstrations?
- Does the business model provide support for adoption (training, support), or is the professional left to fend for themselves after installation?
- Are patient data interoperable with existing systems (management software, shared medical records)?
These three criteria separate viable solutions from gadgets. A tool that ticks all three has undergone a validation process that most commercial offers do not provide.
Digital management and organizational innovation: the forgotten link
The spotlight is on AI and telemedicine, but administrative management remains the primary barrier to digital adoption in health and wellness organizations. A poorly integrated appointment scheduling software consumes more time than it frees up.
The CNSA funds projects that revisit organizational models in the healthcare sector. The R.E.V.E. project, for example, aims to empower teams in the life of establishments by combining digital tools and participatory methods. These experiments will start no later than early 2026 and last for 24 to 36 months.
Organizational innovation does not make media noise. It does not produce spectacular demonstrations. It simply reduces the mental load on professionals and improves quality of life at work, which, in a sector under pressure for recruitment, weighs more heavily than an algorithm.
The selection criterion for an innovative solution in health and wellness should no longer be technological sophistication. The 2026 calls for projects from the ANS, DNS, and France 2030 converge towards the same indicator: adoption measured by professionals in real work situations. It is this filter that separates sustainable tools from prototypes without a future.