Fig. 4.
Nomogram of percentage of cases booked as a function of days before the surgery date, in the baseline data used to create the “Percentage of Final Count” model. Thirty days before the day of surgery (TMinus30), 39% of the time 25% of the final case volume was found to have been already booked. Similarly, 72% of the time, 30% of the final volume was booked. The number 60% under “Dist.” column is the difference between 99 and 39%, implying that 60% of the time, between 25 and 40% of the final case volume was booked at TMinus30. Mean = 26.4 ± 0.5% (95% CI of mean = 0.1%). If, for example, at TMinus30, 30 cases were already scheduled, then just using the “Percentage of Final Count” model, the following prediction would be made—“there is an absolute certainty that the final volume will not be less than 75 (=30/0.4) cases, and there is 60% probability that the final volume will be between 120 (=30/0.25) cases and 75 (=30/0.4) cases.”

Nomogram of percentage of cases booked as a function of days before the surgery date, in the baseline data used to create the “Percentage of Final Count” model. Thirty days before the day of surgery (TMinus30), 39% of the time 25% of the final case volume was found to have been already booked. Similarly, 72% of the time, 30% of the final volume was booked. The number 60% under “Dist.” column is the difference between 99 and 39%, implying that 60% of the time, between 25 and 40% of the final case volume was booked at TMinus30. Mean = 26.4 ± 0.5% (95% CI of mean = 0.1%). If, for example, at TMinus30, 30 cases were already scheduled, then just using the “Percentage of Final Count” model, the following prediction would be made—“there is an absolute certainty that the final volume will not be less than 75 (=30/0.4) cases, and there is 60% probability that the final volume will be between 120 (=30/0.25) cases and 75 (=30/0.4) cases.”

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