Keep evaluation independent.
Assess resources on their quality and relevance. Make the publisher, available evidence and limitations visible.
Our AI vision
When health starts
with an AI conversation,
trust must follow.
We believe AI can become a front door to guided self-care, connecting people’s questions to evaluated resources and the care around them.
Explore our vision2:00 a.m.Marie is looking for help.
“I can’t sleep and my anxiety is getting worse.”
An AI assistant can suggest…
- A sleep appIs it suitable for her?
- An article on anxietyWhat evidence supports it?
- A support serviceIs it available where she lives?
The first answer can shape
the whole care journey.
A person may ask AI before speaking with a professional, between appointments or during treatment. The resources it suggests can influence what happens next.
A convincing answer is only the beginning.
What can the person actually rely on?
Health systems need a trusted starting point for their population. Pharma teams need continuity beyond the prescription. Both need to understand which resources people reach and whether they find them useful.
Our vision: bring independent evaluation, local relevance and a connection to care into these first conversations.
From an AI answer
to a trusted next step.
We want the conversation to lead to resources a person can understand, choose and use, with a clear view of their sources and limits.
Marie’s needSleep. Anxiety. Where do I start?
Her question, language and region.
The role we want to play
Connect the need
to evaluated resources.
Connect the needto evaluated resources.
- Quality and available evidence
- Privacy and usability
- Language, region and access
The experience we are working towardUseful options.
Clear sources.
Clear sources.
- A guide to understanding sleep
- An evaluated self-care tool
- A route to existing support
The destination may be within an organization’s assistant or in its resource hub. The ambition stays the same: help the person take a useful next step, wherever the question begins.
What must carry forward
as AI changes access to health.
Connect people to care.
Support self-care before, between and after visits, with a route to existing services when needed. Clinical decisions remain with care teams.
Learn from what people use.
Look beyond the answer: which resources are opened and found useful? Document value with appropriate measures; a click alone is not a clinical outcome.
An ambition grounded
in work already underway.
We already evaluate external health resources and help organizations put them into use through branded hubs and care teams. That foundation is the starting point for our AI vision.
What we are building toward
Conversational experiences within client spaces and connections to AI assistants. Integrations are scoped by project; broader AI-platform connections remain under exploration.
The next step is to learn with health systems and pharma teams: one population, one need and clear indicators of usefulness.
Looking for technical integration options?Read our evaluation methodHelp shape the next
front door to care.
How should AI guide the people you serve? Let’s explore the role evaluated resources can play.