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Effect of Intelligent Tutor Induced Pausing on Learning Simulated Surgical Skills

NCT06235788 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 129

Last updated 2024-02-05

No results posted yet for this study

Summary

Traditional training of surgical technical skills relies on mentorship from experienced surgeons, who continuously evaluate and change trainee performance to prevent errors and potential patient harm by providing verbal instructions. These educators may also pause the procedure, explaining the risks associated with the trainee's actions, and may personally demonstrate proper techniques to the students. Studies examining pausing while providing medical care outline that these approaches allow for learning.

An artificial intelligent (AI) tutoring system, the Intelligent Continuous Expertise Monitoring System (ICEMS), improves learning in a surgical simulated operation by providing trainees with verbal instructions upon error identification. However, the effect of including a pause during this AI teaching has not been studied. Therefore, the ICEMS post-error identification methodology has been altered to include a pause with the intelligent tutor voice instruction.

The aim of this study is to determine the effect of pausing on surgical skill acquisition and transfer among pre-medical and medical students. This will be done by comparing their performance in repeated simulated tumour resection tasks.

Conditions

  • Surgical Education

Interventions

BEHAVIORAL

Experimental Group ICEMS verbal feedback with pause group

While performing the simulated procedure, if participants receive real-time verbal feedback based on the intelligent system error detection, they will be instructed to pause the task, putting their instruments down and reflecting for 22 seconds. A warning will be given when there are 7 seconds remaining in the reflection period so individuals can prepare to resume the task immediately.

BEHAVIORAL

Experimental Group ICEMS audio feedback with pause and expert video

While performing the simulated procedure, if participants receive real-time verbal feedback based on the intelligent system error detection, they will be instructed to pause the task, putting their instruments down, turning their attention to a 9-second expert-level demonstration video, and reflecting for 13 seconds. A warning will be given when there are 7 seconds remaining in the reflection period so individuals can prepare to resume the task immediately.

Sponsors & Collaborators

Principal Investigators

  • Rolando F Del Maestro, MD, PhD · McGill University

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-01-30
Primary Completion
2024-09-30
Completion
2024-09-30

Countries

  • Canada

Study Locations

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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 NCT06235788 on ClinicalTrials.gov