ibis.ai delivers advanced clinical language understanding, empowering healthcare institutions to act on the valuable information locked away in unstructured medical data.
Request your DEMO nowOur approach is tailored to be easily usable and acceptable by healthcare professionals.
Our data-driven Clinical Language Understanding models learn from real-life examples. The system learns how the users work, not vice versa.
The initial system is a starting point. The AI models learn from further interactions with healthcare professionals, creating a positive feedback loop.
We focus on interpretable AI, where users can easily understand the AI suggestions and validate or correct based on the presented evidence.
Get to know us.
Discover the benefits of Computer-Assisted-Coding during our talk at the ICT4Care event. Also this year ibis.ai will be present with a booth and a talk. Do not miss it
Join ibis.ai and learn more about the vision of HINT.gent. Hear from leading experts in AI & Health, and explore opportunities for collaboration with other stakeholders.
Découvrez la valeur ajoutée d'ibis.ai dans le codage RCM. Ne manquez pas de nous rendre visite lors de la Journée des clients de Zorgi
Find out more about how AI works and how it can be used in healthcare during an interesting talk by our CEO Mathias De Wachter
Find out all about ibis.ai's integration with Nexuzhealth at the NexuzHealth summit in Antwerp on 19 September
Zorgi automates MZG registration in hospitals with technology from ibis.ai
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:
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 moreIn 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
Our collaborative annotation tool allows efficient annotation of patient records with the relevant SNOMED CT concepts.
We provide a range of models and tools that can be combined to streamline the ICD-10/MZG coding environment.
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