Competency Framework for AI Integration in Healthcare

Why develop a competency framework?

Artificial intelligence (AI) is revolutionizing the way we work. Despite its promising potential, its implementation is not automatic. Our analyses highlight that while technical skills are essential, they are not sufficient on their own. It is crucial to possess a set of fundamentally human competencies to integrate AI for the benefit of patients and the general population. 

The School of Artificial Intelligence in Healthcare (SAIH) of the Centre hospitalier de l’Université de Montréal (CHUM) has designed a unique competency framework to facilitate a better integration of AI into healthcare. 

Explore AI-healthcare competencies at your own pace with a variety of tools at your disposal. 

Competency Framework

Competency Framework for Artificial Intelligence in Healthcare 

Healthcare AI Competency Framework © 2020 by The CHUM School of Artificial Intelligence in Healthcare (SAIH) is licensed under CC BY-NC-ND 4.0

Enabling mindsets for AI integration

Human competencies for AI integration 

Human-AI interface competencies 

Specific competencies for AI integration

Healthcare AI Competency Framework © 2020 by The CHUM School of Artificial Intelligence in Healthcare (SAIH) is licensed under CC BY-NC-ND 4.0

General Structure of the Model

The Competency Framework for AI Integration in Healthcare is built around 2 axes, namely :

4 levels of competencies :

LAYERS

Illustrated by different colours

  • Enabling mindsets
  • Human competencies
  • Technical know-how
  • Competencies for human-machine collaboration
Competency framework

4 categories of competencies :

QUADRANTS

Divided by 2 perpendicular axes

  • Relational competencies
  • Reflective competencies
  • Self-based competencies
  • Action-oriented competencies

The intersection of these two axes makes it possible to locate each of the 16 competencies.

How the SAIH uses the competency framework in its projects

All learning activities offered by the SAIH builds on those competencies from its Competency Framework for AI Integration in Healthcare. Everyone can refer to them to choose learning activities and personalize their training program.

Individuals
To guide learners’ professional development

Trainers
To structure the design of learning activities

Organisation
To clarify the desired behaviours for better AI integration in healthcare

Development process

A rigorous design approach

The Competency Framework for AI Integration in Healthcare is the result of 18 months of research, analysis and design. It was developed with the collaboration of experts from the fields of education, AI and healthcare.

Literature review
200+ Scientific articles, whitepapers and books

Benchmarking
20+ Existing competency frameworks

Field observation
Survey analysis of learner needs
AI projects success factors
Pedagogy and AI Experts consultations

To find out more

To know more about the SAIH Competency Framework for AI Integration in Healthcare, please contact us through the following form.