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 for AI Integration 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
A rigorous development process
The Competency Framework for Artificial Intelligence in Healthcare is the culmination of 18 months of research, including analysis, development, and validation. It was developed through a consultative process involving collaboration with experts in andragogy, AI specialists, as well as healthcare professionals, and patient.
The selection and conceptualization of these competencies are based on data gathered and synthesized from a variety of sources, including:
Interactive tool
Familiarize yourself with the competency framework by exploring the 3 modules of our interactive tool. Discover the competencies for your future in the healthcare sector!
What are the distinctive features of the competency framework?
The Competency Framework for Artificial Intelligence in Healthcare stands out from other existing frameworks thanks to its distinctive characteristics:
- Emphasis on cross-functional and fundamental competencies, applicable across healthcare functions;
- Hierarchical organization of concepts along two axes, as opposed to a list of competencies;
- Integration of both general and technical competencies;
- Consultation with experts in education, formation, and AI;
- Incorporation of theoretical concepts in andragogy, psychology, and management to facilitate change and adaptation;
- Envolving nature to support digital transformation;
- Intersectoral and interdisciplinary perspectives built into its design.
Competency Framework for Artificial Intelligence in Healthcare Guide
Fostering the Adoption of AI for the Benefit of Patients
In 2024, the CHUM School of Artificial Intelligence in Healthcare (SAIH) developed a guide to help raise awareness and improve training and development to support the integration of AI in healthcare.
How does the SAIH utilize the competency framework in its projects?
All learning activities proposed by the SAIH are based on this framework. It will soon be possible to refer to it to select learning activities and personalize your training path.
