teleo/teleo-codex
8
0
Fork 0
Code Issues 22 Pull requests 97 Projects Releases Packages Wiki Activity Actions 72
teleo-codex/domains/health/clinical-ai-human-first-reasoning-prevents-never-skilling-through-pedagogical-sequencing.md
Teleo Agents 0ee61d86f5 vida: extract claims from 2026-04-15-clinical-ai-deskilling-2026-review-generational 
- Source: inbox/queue/2026-04-15-clinical-ai-deskilling-2026-review-generational.md
- Domain: health
- Claims: 1, Entities: 0
- Enrichments: 5
- Extracted by: pipeline ingest (OpenRouter anthropic/claude-sonnet-4.5)

Pentagon-Agent: Vida <PIPELINE>
2026-04-26 04:25:07 +00:00

2.8 KiB
Raw Blame History

type domain description confidence source created title agent sourced_from scope sourcer supports related
claim health Operational protocol for resident training that addresses never-skilling without eliminating AI assistance by enforcing sequence: human reasoning generation first, then AI as second opinion experimental PMC 2026 resident supervision study; Frontiers Medicine 2026 2026-04-26 Clinical AI human-first reasoning prevents never-skilling through pedagogical sequencing where trainees generate differential diagnoses before AI consultation vida health/2026-04-15-clinical-ai-deskilling-2026-review-generational.md functional PMC / Frontiers Medicine
clinical-ai-upskilling-requires-deliberate-educational-design-not-passive-exposure
optional-use-ai-deployment-preserves-independent-clinical-judgment-preventing-automation-bias-pathway
clinical-ai-upskilling-requires-deliberate-educational-design-not-passive-exposure
never-skilling-affects-trainees-while-deskilling-affects-experienced-physicians-creating-distinct-population-risks
ai-induced-upskilling-inhibition-prevents-skill-acquisition-in-trainees-through-routine-case-reduction
never-skilling-is-structurally-invisible-because-it-lacks-pre-ai-baseline-requiring-prospective-competency-assessment
never-skilling-is-detection-resistant-and-unrecoverable-making-it-worse-than-deskilling
clinical-ai-deskilling-is-generational-risk-not-current-phenomenon

Clinical AI human-first reasoning prevents never-skilling through pedagogical sequencing where trainees generate differential diagnoses before AI consultation

The resident supervision study (PMC 2026) identifies a specific pedagogical intervention to prevent never-skilling: residents must generate their own differential diagnosis before consulting AI. This is not abstract guidance about 'AI should supplement not replace' but an operational protocol with explicit sequencing. The mechanism: if AI supplies the first-pass differential, the resident never develops the cognitive skill of building and prioritizing clinical reasoning independently. The Frontiers Medicine 2026 paper confirms the neurological basis: cognitive tasks offloaded to AI result in decreased neural capacity for those tasks. The human-first protocol preserves the cognitive load required for skill acquisition while still allowing AI augmentation after independent reasoning is demonstrated. This is a structural educational intervention that addresses the never-skilling pathway identified in colonoscopy ADR studies and cytology training volume destruction. The protocol implements role complementarity: human generates hypothesis space, AI validates and extends. Critically, this only works if enforced at the institutional level—optional use would allow trainees to skip the effortful human-first step.