The platform addresses scheduling challenges in the operating room from block scheduling to surgeon scheduling to patient scheduling and allows hospitals the ability to test their proposed mitigation strategies before going live.
Since most organizations have had to cancel surgeries to create capacity for COVID patients, the platform would be able to show for example, how opening up the operating rooms over the weekend can help in reducing the waitlists, but also what resources (ie. beds, nursing) are required.
The platform allows you to estimate the surgical staffing requirements within the surgical pathway for nursing and anesthesiologists for a given activity level. The algorithm takes into account the hospitals’ structure, the master surgical schedule, and historical staffing levels.
Since most organizations have had to cancel surgeries to create capacity for COVID patients, the platform would be able to show for example, how many staff can be redeployed given a certain level of activity during the stages of ramp down or ramp up.
The platform allows the translation and visualization of future patient flow from the architectural planning parameters, highlighting the bottlenecks and incongruencies of the plan.
These estimates can then be used for refinement or numeration of other resource demands (ie. hourly parking, size of the entrances, thickness of asphalt, physical location of the clinics, etc).
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