Designed for practice

Dino Care is developed with an eye for safety, reliability, and alignment with practice.

Clear and controllable

Insights are always linked to the conversation and can be reviewed directly by the healthcare professional.

  • Linked to the conversation

    Every analysis can be traced directly back to the source in the conversation.

  • Direct review

    The healthcare professional stays in control of what is accepted, rejected, or further elaborated.

  • Transparent AI

    No black box, but traceable proposals with clear context from the conversation.

AI
Score: 0.82
Accepted

Reduced activity

"I only took slightly shorter walks"

AI
Score: 0.61
To review

Feeling lonely

"Unfortunately, it has been a bit quieter than usual because of that."

Works the way your organization works

Dino Care aligns with existing healthcare methods such as the Omaha System and NANDA NIC NOC and evolves with how these methods develop.

In addition, where needed, we help build custom work, from custom analyses to adapted review processes, aligned with your organization.

Methodology settings
Omaha System
NANDA NIC NOC
Custom analysis model
Custom reporting

Careful with data

Dino Care is set up with a European backend. Platform data is stored within the EU and AI processing takes place within the EU. Privacy and security are central to this.

Developed with AI guidelines in mind

We develop Dino Care with attention to the requirements that apply within Europe and within healthcare.

Data stays close

Platform data is stored within the EU and AI processing takes place within the EU.

Privacy by design

Privacy has been a core pillar of the platform setup from day one.

Frequently asked questions

Privacy and data protection are a leading design principle within Dino Care. We only process data that is needed for the platform to function and we make deliberate choices in storage, processing, and technical setup to handle care-related information with care.

Dino Care runs on a European infrastructure. Platform data is stored within the EU.

For AI functionality, Dino Care uses Azure with OpenAI models in an EU-configured deployment. As a result, AI processing takes place within the EU. Input and output are not used to train the base models.

No, Dino Care makes suggestions, but the professional always keeps control. The healthcare professional decides which insights are accepted, rejected, or further elaborated.

Dino Care provides a reliability score for each insight, so the professional can quickly assess which suggestions are likely correct and which need extra attention first. Final evaluation always remains with the user.

Dino Care is currently in the closed beta. In this phase, we test the platform together with a limited group of organizations in practice and further refine it based on those experiences.

Through the contact form on the website, you can let us know that you are interested in the closed beta, an introduction meeting, or more information. We will then contact you.

Go to the contact form