schedulEQ enhances scheduling workflow for administrators using machine learning automation. Physicians and staff are provided greater autonomy and work-life balance through balanced and flexible scheduling options.
Enable greater work-life balance by increasing scheduling flexibility. Workload forecasting unlocks the potential for individuals to modify their own schedules while ensuring adequate clinical coverage and appropriate workload distribution.
Reduce the manual burden of scheduling by leveraging machine learning to facilitate schedule creation.
Predicting workload enables optimized scheduling to reduce overstaffing and understaffing.
Staff scheduling is a manually intensive and time-consuming process requiring the scheduler to juggle multiple priorities, including clinical expertise, work productivity, away requests, location, and fairness. schedulEQ uses machine learning to help automate this process to reduce the manual burden of scheduling.
