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Rapid-cycle deliberate practice as a framework for high-acuity, low-occurrence procedural training

Design · All designs
Evidence · 2 claims (2 for) · 1 study (1 causal), q3 · 0 of 1 report an effect size · 2 claims rest on one study

Description

Rapid-cycle deliberate practice is an educational framework using repeated practice cycles with continuous instructor input, in which learners are stopped, redirected, and instructed to restart the procedure whenever a predefined step is not completed to mastery. This optimizes time on challenging steps while minimizing repetition of correctly performed ones. The article applied it with 1:1 supervision on a manikin and bronchoscopy simulator to teach awake fiberoptic intubation, a novel application in emergency medicine.

Design Implications

Context

Requirements

  • 1:1 instructor supervision during practice sessions
  • A procedural checklist defining mastery-level steps for restarting the procedure

Constraints

  • Requires simulation equipment and instructor time; the article notes the curriculum needs study among a broader range of instructors to ensure reliability

Target Learners

  • Emergency medicine residents and attending physicians

Learning Goals

  • Awake fiberoptic intubation procedural skill

Claims

Examples

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Key Sources

  • Haas D, Fredette J, Murphy KA, Deitchman A, Anderson J, Blodgett M. (2026). Novel Simulation-based Awake Fiberoptic Intubation Curriculum: Pilot Study. Western Journal of Emergency Medicine. https://doi.org/10.5811/westjem.50778
Page metadata
Field Value
type design
id rapid-cycle-deliberate-practice-afio-framework
title Rapid-cycle deliberate practice as a framework for high-acuity, low-occurrence procedural training
description Rapid-cycle deliberate practice is an educational framework using repeated practice cycles with continuous instructor input, in which learners are stopped, redirected, and instructed to restart the procedure whenever...
status review
generated by process:settle-candidates on 2026-11-04
trust unverified — no one has confirmed this page's content
sources 1 — haas-d-2026

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