Improving Planned Surgical Case Duration Accuracy by Leveraging the EHR and Predictive Modeling
NCT ID: NCT03471377
Last Updated: 2022-03-17
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
683 participants
OBSERVATIONAL
2018-03-05
2022-03-15
Brief Summary
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Detailed Description
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Conditions
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Study Design
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CASE_CONTROL
PROSPECTIVE
Study Groups
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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.
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.
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.
Interventions
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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.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* 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
ALL
Yes
Sponsors
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Memorial Sloan Kettering Cancer Center
OTHER
Responsible Party
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Principal Investigators
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Christopher Stromblad
Role: PRINCIPAL_INVESTIGATOR
Memorial Sloan Kettering Cancer Center
Locations
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Memoral Sloan Kettering Basking Ridge
New York, New York, United States
Countries
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References
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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.
Related Links
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Memorial Sloan Kettering Cancer Center
Other Identifiers
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18-115
Identifier Type: -
Identifier Source: org_study_id
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