See more patients with same resources
Our proprietary algorithms utilize predictive modeling, data analytics, and artificial intelligence to generate optimal scheduling recommendations matching the specific set of services that need to be scheduled. Result is the ability to handle more capacity with the same number of resources.
Better nurse load balancing
Historical data is used in conjunction with desired clinic constraints and available resources to better balance patient flow. This results in an evenly balanced patient load in the treatment room enabling nurses to have lunch on time and reduce overtime significantly.
No changes to current workflow
Static optimized templates are used in conjunction with real-time EMR data for the day of visit to present optimal times for scheduling. The results are displayed as an overlay on top of the EMR scheduling screen for seamless interaction.