Making every heartbeat count.
The AI software platform to empower clinicians with data-driven insights.
Supporting clinical management with your data.
Hospitals produce 50 petabytes of data per year, but 97% of it remains unused. 60% of patients with complications in the hospital have hidden data patterns prior to diagnosis. Innocens sits at the forefront of healthcare innovation by providing a software platform that continously compares your data with AI applications to detect early signs of patient deterioration
Data Platform
Aggregate - View - Enrich
The platform brings your data together in a beautiful dashboard. Our annotation layer saves time to build meaningfull accessible datasets. All data is stored on-premises and time-synchronized.
AI Applications
Neonatal Sepsis
Our neonatal early warning application can detect early signs of sepsis 11 hours faster (median) than the current standard of care.
Validation Pipeline
AI App Integration
We leverage our partner hospitals to efficiently validate their research AI applications at the bedside with respect to the patient's data privacy. Our solution reports clinical performance in real-time.
A Magnificent User Experience
Designed by clinicians for clinicians
Our user interface has been designed to be easy to navigate and easy to understand.
- Privacy by design
- All Innocens software is installed on-premise to keep sensitive data within your network.
- Multi-center Learning
- Innocens develops a machine learning architecture to enable multi-center learning without sharing privacy-sensitive healthcare data.
- Developed with clinicians
- Innocens products have been developed with continuous feedback from doctors and nurses working inside the Neonatal ICU.
- Data enrichment
- To get the most out of your data, it needs to be labeled in real-time. We automatically generate annotations the moment disease is detected.
Scalable and compliant AI applications
Want to use your AI application in clinical care?
To bring our neonatal sepsis AI application to the bedside, we had to jump through a lot of hoops. However, the issues we faced are not unique to our specific use case. We have built a platform that can be used for any AI application's development, validation, and integration.
Do you have your own promising AI model currently in development that you would like to bring to the bedside? Come talk to us! We can assist you in your research or your clinical validation and we know how to do it in a regulatory compliant way. We want to bring your innovation to as many patients as possible!
Our team.
Innocens is a multidisciplinary team with members of all ages and genders, consisting of doctors, researchers and developers. The team supports one another, complementing each other's strengths and covering any gaps.
Come work for us.
Interested in joining our team? We are currently looking for software developers. But you can also send us a spontanious application.
Footnotes
- Meeus et al. Clinical Decision Support for Improved Neonatal Care: The Development of a Machine Learning Model for the Prediction of Late-Onset Sepsis and Necrotizing Enterocolitis