Bayesian Health’s Targeted Real-Time Early Warning System (TREWS) integrates within a hospital’s Electronic Medical Records (EMR) system where it analyzes patient data, sending accurate and actionable clinical signals within existing workflows to empower* physicians and care team members to catch life-threatening complications early.
Bayesian directs the attention of the clinician to patients at high risk. Clinicians are encouraged to interact with Bayesian and do not feel pressure to agree with the care signals. Bayesian’s AI thinks like a clinician by considering multiple data points in concert rather than individually. Clinicians use the platform as an extra set of eyes and ears.
To illustrate this concept, think of a provider or nurse weighing all the available data (labs and vitals from the last 48h, patient medical history etc.) and making a decision about a patient’s risk status. Bayesian is a silent colleague continuously reviewing all the data and calling attention to what matters most.