MedTrace Logo

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

NCT03471377 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 683

Last updated 2022-03-17

No results posted yet for this study

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

Interventions

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.

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.

Sponsors & Collaborators

Principal Investigators

  • Christopher Stromblad · Memorial Sloan Kettering Cancer Center

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2018-03-05
Primary Completion
2022-03-15
Completion
2022-03-15

Countries

  • United States

Study Locations

More Related Trials

Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03471377 on ClinicalTrials.gov