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

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.

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Key information

Conditions

Operative Time

Sex eligibility

All sexes

Study type

Observational

Primary location

Memoral Sloan Kettering Basking Ridge

New York, 10065, United States

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

standard scheduling process

Other

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.

assigned a planned case duration value from predictive model

Other

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.

Primary outcomes

duration it takes surgeons to complete their respective surgical cases

Time frame: 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.

Sponsors and collaborators

Lead sponsor

Memorial Sloan Kettering Cancer Center

Other

Registry information

Official study title

Improving Planned Surgical Case Duration Accuracy by Leveraging the EHR and Predictive Modeling - A Randomized Control Trial

Important dates

Study start: 2018
Primary completion: 2022
Study completion: 2022
First posted: Mar 20, 2018
Registry last updated: Mar 17, 2022

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.

Completed