Stop and Consider: Teaching Clinical Judgment and Building Institutional Responsibility for AI in Health Care

PREPRINT — Not peer reviewed. Version 1.0. Artificial intelligence (AI) education should prepare the entire healthcare team to recognize when an apparently satisfactory answer needs reassessment. This commentary proposes “Stop and Consider” as a practical educational approach linked to institutional responsibility. Physicians, nurses, allied health professionals, assistants, technicians, and relevant administrative and support personnel need instruction suited to their roles. A proposed sequence connects recognition of a concern with review of information beyond the AI output, an appropriate clinical response, and responsibility for follow-up. Teaching should include situations in which AI advice is sound as well as situations involving omission, deterioration, or misleading reassurance. Institutions must provide accessible information, clear escalation routes, staffing, time, and support for speaking up. The approach is unvalidated and should be evaluated for appropriate reassessment, missed concerns, harmful overrides, delays, unnecessary testing, and workload. Completion of training or a signed checklist cannot establish that meaningful oversight occurred. Related work: This article builds on Artificial intelligence-induced attentional displacement in clinical diagnosis (doi:10.5281/zenodo.22727468) and Clinical Frameworks and Meaningful Human Oversight of AI, version 2.0 (doi:10.5281/zenodo.22780659). Its distinct focus is education across staff roles, a practical response sequence, and institutional implementation and evaluation. It revises an unpublished July 28, 2026 manuscript titled Stop and Consider: Preventing Artificial Intelligence-Induced Attentional Displacement in Clinical Diagnosis. Funding and competing interests: No external funding was received. The author declares no competing interests. AI assistance: OpenAI ChatGPT and Codex assisted with source retrieval, organization, drafting, revision, reference checking, and document preparation. The author supplied the central proposal and directed the scope and revision. Full disclosure appears in the manuscript. No empirical results were generated. The teaching exercise is hypothetical.