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

Operative Time Clinical Trial

Official title:

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

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT03471377
• Other study ID #: 18-115
• Status: Completed
• Start date: March 5, 2018
• Est. completion date: March 15, 2022

Study information

• Verified date: March 2022
• Source: Memorial Sloan Kettering Cancer Center
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial 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.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 683
• Est. completion date: March 15, 2022
• Est. primary completion date: March 15, 2022
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: N/A and older

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

Related Conditions & MeSH terms

• Operative Time

Intervention

Other:
• standard scheduling process
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
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.

Locations

Country	Name	City	State
United States	Memoral Sloan Kettering Basking Ridge	New York	New York

Sponsors (1)

Lead Sponsor	Collaborator
Memorial Sloan Kettering Cancer Center

Country where clinical trial is conducted

United States, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	duration it takes surgeons to complete their respective surgical cases	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.	1 year

External Links

•   Memorial Sloan Kettering Cancer Center