Operative Time
Conditions
Keywords
Planned Surgical Case, Predictive Modeling, 18-115
Brief summary
The investigators are studying the duration it takes surgeons to complete their respective surgical cases. The hospital hopes to improve the overall operating room scheduling accuracy from this project.
Interventions
Scheduling office assigns start time and room for case and places case on schedule. At this point a default case duration is evaluated by the scheduling office, to see if the value is considered excessively short or excessively long. Depending on the assessment, the scheduling office will either keep the default value, use the value that the surgeon placed in the notes (if available), or the scheduling office provides their own estimation.
Predictive model calculates new duration for case at 3AM the day before surgery, and the predictions are made available on a SecureShare-site. Model predictions are then read by scheduling manager sometime between 7am-10am from the SecureShare site, and the scheduling manager will in EPIC/OpTime, overwrite the current estimate with the new duration value that was generated by the predictive model.
Sponsors
Study design
Eligibility
Inclusion criteria
* A surgeon or OR staff member in the Department of Surgery Gynecology and Colorectal service
Exclusion criteria
* Any new surgeon that starts their practice during the study * Surgery will take place at a location other than the Main hospital or Josie Robertson Surgical Center * Cases where input data was not available prior to the prediction generation including late add-on cases such as urgent and emergent cases that are placed on the schedule less than 24 hours before the surgery
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| duration it takes surgeons to complete their respective surgical cases | 1 year | All Gynecology (GYN) and Colorectal (CRS) Surgeons at MSKCC will be included. To test the hypothesis that the developed surgical case duration prediction model compared to the current process of estimating surgical case durations, will show improved prediction accuracy, measured by mean absolute error. |
Countries
United States