Providing real-time predictions about the patient health status, give clinicians the ability to look at the monitor and see the future of their patient's health.
Avoid adverse events by seeing them before they happen, for the benefit of patients and clinicians.
Use each patient's specific health characteristics to predict therapy effects and avoid adverse events.
Our solutions are algorithms using mathematical models embedded in software that can be implemented in different platforms, including clinical monitors, infusion pumps, and electronic health records. Our solutions are integrated by a processing system that receives and processes real-time clinical signals from patients, mathematical models/algorithms that perform predictions, and an intuitive display of predictions, which are updated continuously over time.
Our core solutions derive from the use of a powerful data analysis engine based on population analysis, predictive analytics, nonlinear mixed-effects modeling and data science approaches including Artificial Intelligence methods.
We are a team of clinical monitoring experts, clinicians, pharmacologists, data scientists and IT engineers with a common interest in developing predictive solutions to answer clinically relevant questions.