Approach

Our approach is tailored to be easily usable and acceptable by healthcare professionals.

Modern data-driven NLP

Our data-driven Clinical Language Understanding models learn from real-life examples. The system learns how the users work, not vice versa.

Automatic learning

The initial system is a starting point. The AI models learn from further interactions with healthcare professionals, creating a positive feedback loop.

Augmented Intelligence

We focus on interpretable AI, where users can easily understand the AI suggestions and validate or correct based on the presented evidence.

News

Get to know us.

April 26-27 - 2023

We will be present at inspire health&care on April 26 and 27 in the Nekkerhal in Mechelen. Register for free via our link and visit our stand. Until then! #IHC23

March 28 - 2023

On Tuesday 28 March, ICT4care organizes the 26th colloquium in De Montil in Affligem. At this event you will become acquainted with a wide range of ICT solutions for healthcare. Be sure to visit the IBIS.AI booth and follow our session on AI and medical coding.

October 13 - 2022

Ibis.ai was nominated for the CCO-awards 2023

Products and Services

Our Clinical Language Understanding technology is at the core of the solutions we build for and together with customers. A modular, container-based architecture gives us the flexibility to adapt to different needs.
Flexibility also means flexibility in deployment. That's why we offer on-site as well as cloud based deployment solutions. That way, healthcare institutions can be in control of their own data.
Over the years, we have worked on multiple projects (e.g. adverse event detection) and services (e.g. pseudonymization and anonymization). But the following are the projects that have grown into real products:

Computer-aided ICD-10 coding of hospital stays.

ICD-10 coding is essential in the administrative processes of hospitals in many countries. We are working with Belgian hospitals to streamline the ICD-10 coding for the obligatory MZG registration.

Learn more

Conversion of medical history to SNOMED CT.

In the context of migrating to next generation electronic health record systems, hospitals are looking to add value from the new possibilities offered by SNOMED CT based functionality.

Learn more

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