Clinical Judgment Integrity Officer (CJIO) Entry-Level Competencies

This document establishes the entry-level competencies for the Clinical Judgment Integrity Officer (CJIO) role. These competencies define the observable and measurable behaviors that an entry-level CJIO must demonstrate upon completion of preparatory education, including the Clinical AI Governance Certificate (CAGC). The competencies are organized into nine domains: a Foundations domain establishing grounding concepts, three domains corresponding to the theoretical governance layers (model, infrastructure, care delivery), two cross-cutting methodology domains (audit and investigation), two cross-cutting practice domains (authority-and-collaboration, and fiduciary accountability), and a continuing competence domain addressing the velocity of change in the AI landscape. Each competency is written as an observable behavior examinable against evidence. Where a competency requires differentiation across the five-layer AI taxonomy (classical AI, machine learning, deep learning, generative AI, agentic AI), the layer-specific expectations are named explicitly. The three-concept theoretical stack — judgment as the protected construct, discernment as the theoretical heart, attention as the mechanism — runs as a vertical spine through every domain.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-09
DOI
https://doi.org/10.5281/zenodo.20103330
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

Clinical Judgment Integrity Officer (CJIO) Entry-Level Competencies

Clelie LaFleur
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

Clinical Judgment Integrity Officer (CJIO) Entry-Level Competencies

Clelie LaFleur
article en

Abstract

This document establishes the entry-level competencies for the Clinical Judgment Integrity Officer (CJIO) role. These competencies define the observable and measurable behaviors that an entry-level CJIO must demonstrate upon completion of preparatory education, including the Clinical AI Governance Certificate (CAGC). The competencies are organized into nine domains: a Foundations domain establishing grounding concepts, three domains corresponding to the theoretical governance layers (model, infrastructure, care delivery), two cross-cutting methodology domains (audit and investigation), two cross-cutting practice domains (authority-and-collaboration, and fiduciary accountability), and a continuing competence domain addressing the velocity of change in the AI landscape. Each competency is written as an observable behavior examinable against evidence. Where a competency requires differentiation across the five-layer AI taxonomy (classical AI, machine learning, deep learning, generative AI, agentic AI), the layer-specific expectations are named explicitly. The three-concept theoretical stack — judgment as the protected construct, discernment as the theoretical heart, attention as the mechanism — runs as a vertical spine through every domain.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Artificial Intelligence in Healthcare and Education
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