Related Experiment Video
Updated: Feb 13, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Competency-Based, Time-Variable Education in the Health Professions: Crossroads
Catherine R Lucey1, George E Thibault, Olle Ten Cate
1C.R. Lucey is executive vice dean, vice dean for education, and professor of medicine, University of California, San Francisco, School of Medicine, San Francisco, California. G.E. Thibault is president, Josiah Macy Jr. Foundation, New York, New York. O. ten Cate is professor of medical education, Center for Research and Development of Education, University Medical Center Utrecht, Utrecht, the Netherlands.
Health education must evolve to competency-based, time-variable models to meet 21st-century healthcare needs. This ensures physicians possess essential skills for high-quality patient care and lifelong learning.
Area of Science:
- Medical Education
- Health Professions Education
Background:
- Healthcare systems are transforming globally.
- Educational systems must adapt to prepare health professionals for evolving demands.
- Competency-based, time-variable education offers a framework for this transformation.
Discussion:
- Current medical education often remains time-based, not competency-based.
- This paradigm shift requires aligning educational stages with demonstrated competencies.
- Learner engagement in assessment fosters lifelong learning.
Key Insights:
- Competency-based, time-variable education assures public of physician readiness.
- This model prepares graduates for continuous professional development.
- It aligns education with contemporary patient and community needs.
Outlook:
- The shift to competency-based, time-variable education is crucial for optimizing healthcare delivery.
- Further exploration of theories, examples, and challenges is needed.
- This approach supports the development of adaptable and capable health professionals.
More Related Videos
13:44Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
07:31Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Related Concept Videos
Variability: Analysis
The range is a simple measure of variability, indicating the difference between the highest and...
Random Variables
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
Graphs of Equations in Two Variables
Variables Affecting Phosphorescence and Fluorescence
Work and Energy for Variable Forces
Types of Records II: Educational and Administrative Records