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

NCT03471377 | Completed

• 1 other identifier: 18-115
• Study Type: observational
• Target: 683
• Locations: 1 country
• Sites: 1

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.

Conditions

Operative Time

Keywords

Planned Surgical Case; Predictive Modeling; 18-115

Outcome Measures

Primary Outcomes (1)

• 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

Study Arms (2)

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

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

Interventions

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.

standard scheduling process

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.

assigned a planned case duration value from predictive model

Eligibility Criteria

• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

Surgeons and OR staff from the GYN and CRS services

You may qualify if:

• A surgeon or OR staff member in the Department of Surgery Gynecology and Colorectal service

You may not qualify if:

• 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

Sponsors & Collaborators

• Memorial Sloan Kettering Cancer Center: lead

Study Sites (1)

Memoral Sloan Kettering Basking Ridge

New York, New York, 10065, United States

Location

Related Publications (1)

• 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.

  PMID: 33502448 DERIVED

Related Links

• Memorial Sloan Kettering Cancer Center

Study Officials

• Christopher Stromblad

  Memorial Sloan Kettering Cancer Center

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: CASE CONTROL
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: March 12, 2018
• First Posted: March 20, 2018
• Study Start: March 5, 2018
• Primary Completion: March 15, 2022
• Study Completion: March 15, 2022
• Last Updated: March 17, 2022

Record last verified: 2022-03

Locations

US (1)