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REMOTE ASYNCHRONOUS FEEDBACK FOR UNSUPERVISED LAPAROSCOPIC TRAINING: THE "LAPP" PLATFORM.

Gabriel Ulloa1, Andres Neyem1, Gabriel Escalona2

  • 1Pontificia Universidad Católica de Chile, Computer Science Department, School of Engineering - Santiago, Chile.

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Summary
This summary is machine-generated.

Technology-Enhanced Learning platforms offer personalized feedback for laparoscopic surgery training. A new platform, Lapp, demonstrated that remote asynchronous feedback is as effective as in-person feedback for skill development.

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Area of Science:

  • Surgical Education
  • Medical Simulation
  • Technology-Enhanced Learning

Background:

  • Laparoscopic surgery offers advantages over open surgery but requires complex skill acquisition.
  • Simulation-based training is crucial for developing laparoscopic competency.
  • A scarcity of expert feedback and geographical barriers limit traditional surgical training.

Purpose of the Study:

  • To develop and validate a novel Technology-Enhanced Learning platform for laparoscopic skills.
  • To provide personalized, remote, and asynchronous feedback to surgical trainees.
  • To overcome spatiotemporal limitations in surgical education.

Main Methods:

  • A web and mobile cloud-based platform named "Lapp" was developed.
  • Teachers remotely evaluate trainee exercises and provide asynchronous feedback via the application.
  • Two groups were compared: in-person feedback (n=130) versus remote asynchronous feedback (n=39).

Main Results:

  • No significant differences in competency levels were observed between the in-person and remote feedback groups.
  • The platform facilitated skill acquisition for trainees regardless of location or time.

Conclusions:

  • Remote asynchronous feedback via the Lapp platform is an effective strategy for laparoscopic skill development.
  • This Technology-Enhanced Learning approach optimizes surgical training by removing traditional barriers.
  • The platform successfully personalizes the learning process for surgical trainees.