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Physician Staffing Optimization: An Iterative Process
Physician Staffing Optimization
CollaboratePhysicians + Administrators work together
to determine scheduling rules and preferences; also department efficiency
goal in patients/hour.
Physician Staffing Optimization
CollaboratePhysicians + Administrators work together
to determine scheduling rules and preferences; also department efficiency
goal in patients/hour.
CollectScheduler inputs key performance data
such as daily visits, RVUs, E/M code distributions, admit rates, compensation data, ESI levels data, and provider service
delivery times.
Physician Staffing Optimization
CollaboratePhysicians + Administrators work
together to determine scheduling rules and preferences; also department efficiency goal in patients/hour.
CollectScheduler inputs key performance data
such as daily visits, RVUs, E/M code distributions, admit rates, compensation data, ESI levels data, and provider service
delivery times.
ConsiderBy juxtaposing historical performance
data with preferred staff schedule, Scheduler can visualize the scenarios
that meet patient demand.
Physician Staffing Optimization
Collaborate
Collect
Consider
Physician Staffing Optimization
CollaboratePhysicians + Administrators review
optimized schedule and make changes in staffing model and efficiency goal as
necessary.
Physician Staffing Optimization
CollaboratePhysicians + Administrators review
optimized schedule and make changes in staffing model and performance goal as
necessary.
CollectScheduler investigates how different
performance data impact the calculation of departmental efficiency.
Physician Staffing Optimization
CollaboratePhysicians + Administrators review
optimized schedule and make changes in staffing model and efficiency goal as
necessary.
CollectScheduler investigates how different
performance data impact the calculation of departmental efficiency.
Consider Scheduler again manipulates staffing model to better meet performance goal.
