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Related Concept Videos

Methods of Documentation V: CBE01:23

Methods of Documentation V: CBE

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Charting by Exception, or CBE, is a method of documentation used in healthcare, particularly in nursing, that focuses on documenting only significant or abnormal findings rather than recording every detail. This approach aims to streamline the documentation process, improve efficiency, and ensure that healthcare providers can quickly identify deviations from normalcy in patient assessments.
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Methods of Documentation VI: Case Management Model01:15

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The guidelines and strategies provided by the American Nurses Association (ANA) and the Canadian Nurses Association (CNA) offer essential principles for ensuring safe and secure computer charting systems in healthcare settings. Let's break down each recommendation:
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Related Experiment Video

Updated: Jun 27, 2025

Transition of Farm Pigs to Research Pigs using a Designated Checklist followed by Initiation of Clicker Training - a Refinement Initiative
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Checking all the boxes: a checklist for when and how to use checklists effectively.

Myrtede Alfred1, Laura H Barg-Walkow2, Joseph R Keebler3

  • 1Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada.

BMJ Quality & Safety
|May 2, 2024
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Summary

Checklists improve safety in high-risk industries but require proper design and use. This study introduces an algorithm to guide effective checklist selection and development for medical settings.

Keywords:
ChecklistsHuman factorsPatient safety

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Area of Science:

  • Healthcare safety
  • Cognitive aids
  • Human factors engineering

Background:

  • Checklists are widely used cognitive aids in high-risk industries, including medicine, for task performance and safety.
  • Despite widespread adoption, suboptimal use and effectiveness persist due to a lack of understanding in their application and design.
  • Effective checklist design necessitates consideration of error types, user expertise, and available tools.

Purpose of the Study:

  • To address the lack of guidance on checklist use and design in medical settings.
  • To develop an algorithm that supports decisions regarding checklist conception, content, and design.
  • To improve the effectiveness of checklists as a safety intervention.

Main Methods:

  • Synthesized existing literature on checklists and practical clinical experience.
  • Developed an algorithm to guide checklist selection and design based on system safety issues and user expertise.
  • Iteratively refined the algorithm through feedback from subject matter experts.

Main Results:

  • The developed algorithm provides a two-part framework for checklist implementation.
  • Part one guides the selection of checklists for specific system safety issues.
  • Part two advises on the appropriate checklist type based on end-user expertise.

Conclusions:

  • The algorithm offers practical guidance for optimizing checklist use and design in healthcare.
  • It aims to enhance the effectiveness of checklists as a safety intervention by considering user expertise and specific safety needs.
  • This tool supports informed decision-making for creating more effective cognitive aids in clinical environments.