Improving Planned Surgical Case Duration Accuracy by Leveraging the EHR and Predictive Modeling

Memorial Sloan Kettering Cancer Center (MSK)

Status: Completed

Conditions: Operative Time

Treatments: Other: assigned a planned case duration value from predictive model; Other: standard scheduling process

Study type: Observational

Funder types: Other

Identifiers

NCT03471377

18-115

Details and patient eligibility

About

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.

Enrollment: 683 patients

Sex: All

Volunteers: Accepts Healthy Volunteers

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

Trial design

683 participants in 2 patient groups

standard scheduling process

Description:

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.

Treatment:

Other: standard scheduling process

assigned a planned case duration value from predictive model

Description:

Predictive model calculates new duration for case at 3AM the day before surgery, and the predictions are made available on a SecureShare-site.

Treatment:

Other: assigned a planned case duration value from predictive model