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

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

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.

Study Overview

• Status: Completed
• Conditions: Operative Time
• Intervention / Treatment: Other: standard scheduling process; Other: assigned a planned case duration value from predictive model

• Study Type: Observational
• Enrollment (Actual): 683

Contacts and Locations

Study Locations

• United States
  • New York
    • New York, New York, United States, 10065
      • Memoral Sloan Kettering Basking Ridge

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Child; Adult; Older Adult
• Accepts Healthy Volunteers: Yes
• Genders Eligible for Study: All

• Sampling Method: Probability Sample

Study Population

Surgeons and OR staff from the GYN and CRS services

Description

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

Study Plan

How is the study designed?

Number of groups / cohorts

2

Cohorts and Interventions

Group / Cohort	Intervention / Treatment
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.	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.	Other: 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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
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

Collaborators and Investigators

• Sponsor: Memorial Sloan Kettering Cancer Center
• Investigators: Principal Investigator: Christopher Stromblad, Memorial Sloan Kettering Cancer Center

Publications and helpful links

General Publications

• Stromblad CT, Baxter-King RG, Meisami A, Yee SJ, Levine MR, Ostrovsky A, Stein D, Iasonos A, Weiser MR, Garcia-Aguilar J, Abu-Rustum NR, Wilson RS. Effect of a Predictive Model on Planned Surgical Duration Accuracy, Patient Wait Time, and Use of Presurgical Resources: A Randomized Clinical Trial. JAMA Surg. 2021 Apr 1;156(4):315-321. doi: 10.1001/jamasurg.2020.6361.

Helpful Links

• Memorial Sloan Kettering Cancer Center

Study record dates

Study Major Dates

• Study Start (Actual): March 5, 2018
• Primary Completion (Actual): March 15, 2022
• Study Completion (Actual): March 15, 2022

Study Registration Dates

• First Submitted: March 12, 2018
• First Submitted That Met QC Criteria: March 19, 2018
• First Posted (Actual): March 20, 2018

Study Record Updates

• Last Update Posted (Actual): March 17, 2022
• Last Update Submitted That Met QC Criteria: March 16, 2022
• Last Verified: March 1, 2022

More Information

Terms related to this study

• Keywords: Predictive Modeling; Planned Surgical Case; 18-115
• Other Study ID Numbers: 18-115

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No