Discover how to optimize patient flow through your Emergency Department
See how Bernoulli can uncover hidden bottlenecks
Bernoulli uses sophisticated modeling and machine learning techniques to simulate and optimize the flow of patients through an Emergency Department, reducing cost and maximizing resource utilization
Imagine being able to play “what if” scenarios with ER staffing and flow with immediate results. Bernoulli allows virtual reallocation of staff, beds and other resources, along with patient movement through the ER with the prediction of key metrics. Users can change patient inflow parameters (acuity and volume) to see how your system responds.
Bernoulli’s powerful and flexible architecture can model simple single provider or sophisticated multi-track ERs including all resources and stations. Process improvements can be easily prototyped to explore new ideas without lengthy and costly trials.
Bernoulli consolidates patient time and acuity data from registration, for continuous up-to-the-minute reporting of interdepartmental system performance, with the capability to model simple to complex hospitals including multi-track, acuity, mid-levels, scribes and more.
Bernoulli’s predictive model identifies bottlenecks and redundancies in the system and offers real-time staffing recommendations, allowing Emergency Department leadership to manage changes in acuity and flow.
Bernoulli alerts of possible bottlenecks hours before they happen, enabling the Emergency Department to prepare well in advance.
“Through modeling, users can quickly predict the outcome of changes including length of stay, left without being seen, wait-times, and more. ED leadership can then analyze the results to determine which changes will be most impactful”
Schedule a demo today to see how we could help optimize your organization.