Optimized operating room block management and related systems and methods

A computing system for improving operating room utilization, the computing system comprising:

• at least one processor;
• and
• at least one memory storing computer-executable instructions that, when executed by the at least one processor, control the computing system to:
• retrieve statistics indicative of usage rates for an operating room, wherein the statistics include, for each individual previous time block in a plurality of previous time blocks:
• a planned usage rate of the operating room for the individual previous time block;
• an actual usage rate of the operating room for the individual previous time block;
• and
• metadata indicate a reason for any difference between the planned usage rate and the actual usage rate;
• predict an estimate of unused time for a future time block, wherein predicting the estimate includes:
• constructing one or more regression models based on the statistics of usage rates for the operating room, wherein each of the one or more regression models identifies a relationship between the planned usage rate and the actual usage rate;
• identifying, from the one or more regression models, a best fit model for the statistics of usage rates for the operating room;
• and
• applying the best fit model to planned future usage rates for the operating room during the future time block;
• and
• generate a recommendation for the unused time in the estimate, wherein the recommendation is based at least partially on an identification of one or more intervals in the future time block associated with the operating room being open in the estimate.

A non-transitory computer-readable storage medium storing instructions that, when executed by a computing system, cause the computing system to perform operations for improving operating room utilization, the operations comprising:

• retrieving statistics indicative of usage rates for the operating room, wherein the statistics include, for each individual previous time block in a plurality of previous time blocks:
• a planned usage rate of the operating room for the individual previous time block;
• an actual usage rate of the operating room for the individual previous time block;
• and
• predicting an estimate of unused time for a future time block, wherein predicting the estimate includes:
• constructing one or more regression models based on the statistics of usage rates for the operating room, wherein each of the one or more regression models identifies a relationship between the planned usage rate and the actual usage rate;
• and
• applying the one or more regression models to planned future usage rates for the operating room during the future time block;
• and
• generating a recommendation for the unused time in the estimate, wherein the recommendation is based at least partially on an identification of one or more intervals in the future time block associated with the operating room being available in the estimate.