Based on streaming data, originating from sensors and other monitoring devices such as those in an Operating Room or an Intensive Care Unit, the device computes the instantaneous degree of complexity and stability of a patient. The system also signals when the mentioned stability undergoes changes due to traumas, side-effects of treatment or any other dynamic mutations within the patient´s organism. The system is unique in that it processes simultaneously all channels, analyzing all the potential cross-relationships, delivering a truly holistic view of the patient.
An important feature of our technology is that the collected data is processed to a model-free technique. This means that the measure of stability of the patient is not flawed by any particular mathematical approach.
Once defined, a model is condemned to deliver only what has been hard-wired into it. This is why the adoption of a particular math model automatically influences the conclusions one will derive from the underlying data. In other words, models can distort the information given data contains.
Data in an ICU is complex and of dynamical nature. It is characterized by strong variability and is highly non-stationary, presenting couplings of varying degree between the different channels. Our complexity-based technology allows one to capture and integrate different OR or ICU-specific data to generate a single, holistic measure which is indicative of patient stability.
COSMOS is essentially a stand-along software module that may be easily integrated into any existing SW or HW-based monitoring device or platform. OntoMed is currently looking to collaborate with major hospitals and research institutions in the United States, Europe and South America to enhance the capabilities of their solution in various field such as cardiology, neurology and critical care. Contact us for: Ontomed products and services (PDF)
