Healthcare and Clinical track
AI competency, measured for healthcare and clinical
Clinical work is where the gap between a model’s confidence and its reliability is most expensive. The items concentrate on documentation, diagnostic support, patient data handling, and the point at which a clinician has to override a suggestion and record why.
Who sits this track
Physicians, nursing staff, allied health professionals and clinical administrators.
Nine tracks exist because the competencies that matter to a clinician are not the ones that matter to a teacher. The framework, the three proficiency levels and the scoring are shared. The items are not.
The judgment this track measures
Scenario items ask what a person would do, not what a term means. These are the situations the healthcare and clinical items are built around.
- Weighing a decision-support suggestion against your own examination
- Patient information in a tool that is not part of the clinical record
- Documenting the reasoning when you accept or reject a suggestion
- Explaining to a patient what part of their care involved a system
- Recognizing a model failure mode that would not be obvious to a patient
- Length
- 40 items, plus the readiness checklist.
- Time
- 20 to 25 minutes. No time limit.
- Levels
- Acquire, Deepen, Create.
- Status
- In development
- Result
- Not pass or fail. A baseline and a set of gaps.
What this track answers to
Every track is aligned to the shared frameworks, and additionally anchored to the professional guidance governing its own audience rather than borrowed from another sector.
Not published yet, and said so on purpose
Common questions
Is the Healthcare and Clinical track available today?
Not yet. The Healthcare and Clinical track is in development, which means framework research and item writing are underway. Register interest and we will tell you when it is published.
How long does it take?
Most people complete the assessment in 20 to 25 minutes. There is no time limit.
Is it pass or fail?
No. The assessment returns a proficiency level and domain scores. There is no passing score. The purpose is to establish a baseline and identify areas for development.
How is this different from the other tracks?
Clinical work is where the gap between a model’s confidence and its reliability is most expensive. The items concentrate on documentation, diagnostic support, patient data handling, and the point at which a clinician has to override a suggestion and record why.
Do participants choose their own track?
No. The access code an organization issues is bound to one track, and entering it puts the participant on the right instrument automatically.
Who sees my results?
Your results appear on screen as soon as you finish. Whether the organization that issued your code also receives them is set by that organization and disclosed to you before you begin.
What is it validated against?
Every track is content-validated before publication by an independent panel of at least six subject matter experts, none of them the item authors, and is accepted at a scale-level S-CVI/Ave of 0.90 or above.
Sources
- UNESCO AI Competency Framework for TeachersUNESCO, September 2024. 15 competencies across five dimensions and three progression levels.
- Lynn, Nursing Research, 1986Determination and quantification of content validity. The origin of the four-point ordinal CVI scale and its acceptance thresholds.
- Polit and Beck, Research in Nursing & Health, 2006The content validity index: are you sure you know what's being reported? Critique and recommendations.
- UNESCO Recommendation on the Ethics of Artificial IntelligenceUNESCO, adopted November 2021 by all member states. The first global standard on AI ethics.