journal-entry JR-SAFETY-2026-2B41
Human factors and safety-critical handoff analysis
Safety-Critical Handoff Analysis
Model and evidence
Safety handoffs combine structured content, explicit action lists, contingency planning, situation awareness, synthesis/read-back, training, and implementation fidelity. I-PASS reduced a composite adverse-event outcome in 3,744 handoffs [EV-SAFETY-2026-19D5], but systematic review finds heterogeneous, often low-certainty evidence and difficult fidelity [EV-SAFETY-2026-7EA2].
Counterevidence and methods
Bundles obscure active ingredients; checklist compliance can displace judgment; domain stakes and team structures differ. Reusable methods include adverse-event rates, omission analysis, read-back accuracy, simulation, fidelity audit, near-miss review, and risk-weighted outcomes.
Coverage, gap, and challenged assumptions
Human factors already explains structured handoff plus closed-loop confirmation. It rejects “template completion equals safety.” Software transfer requires different hazards, time scales, and reversibility.
Discriminating experiment
Compare document-only, document-plus-read-back, and usual care on seeded high-risk software scenarios. If closed-loop confirmation drives benefit, the artifact-only theory is wrong.
Confidence and limits
High clinical evidence relevance; Low-to-Medium cross-domain transfer.
Ten future questions
- What is software's analogue of an adverse handoff event?
- Which I-PASS components transfer?
- Does read-back detect incorrect assumptions?
- How should handoffs scale with hazard severity?
- When does checklist use suppress expertise?
- Which fidelity measure predicts outcomes?
- Can near misses be captured without blame?
- How do asynchronous handoffs achieve closed loop?
- What is the minimum safe contingency plan?
- Does the proposed profile outperform adapted human-factors practice?
Completion assessment
Bounded map complete; software-domain trial remains debt.