From the Emergency Services edition of October 23, 2026
SECAmb paramedic study: 83% would use AI with safeguards, over 96% want final clinical responsibility kept with paramedics
South East Coast Ambulance Service NHS Foundation Trust (SECAmb) · Emergency medical services · South East England, United Kingdom
- Publisher
- SECAmb (NHS)
- Original publication
- 2026-10-22
- Source retrieved
- 2026-10-24
What happened
An NHS ambulance trust reports a 10-month mixed-methods PARA-AI study by its own paramedics (171 survey responses, 14 interviews). 83% would use AI clinically with appropriate safeguards; more than 96% said final clinical responsibility should stay with paramedics; 92% want paramedics involved in designing and testing AI tools; 80% said clear governance, audit and accountability would raise trust; 83% worried about over-reliance. The team built a roadmap for introducing AI to be presented to stakeholders. A separate AT PACE study will simulate 50 participants using AI for electronic patient record documentation with a head-mounted voice device.
Why it matters
U.S. EMS agencies weighing AI documentation or decision support face the same workforce-acceptance questions; this gives a concrete survey instrument and acceptance thresholds, with transferability limited to a single UK trust.
Evidence and measured results
Staff survey and interviews summarized in a trust news release; no response rate, sampling method or full report is published; AT PACE has no results yet.
Limitations and uncertainty
Self-reported attitudes from one trust; survey sample may be self-selected; findings are presented in a news item, not a peer-reviewed paper; no outcome data.
Put this evidence to work
Lighthouse Advisory interpretation, grounded in this source. Enriched 2026-10-23; this does not change the original publication date. Each role follows the same checklist so takeaways compare across sources.
Sales
Role takeaway
- Customer problem
- EMS leaders want AI help with documentation and decisions but need paramedics to accept it and keep accountability.
- Stakeholders
- EMS medical director
- Clinical governance lead
- Paramedic workforce and unions
- ePCR system owner
- Discovery questions
- Have you measured staff attitudes toward AI before choosing a use case?
- Which documentation or decision tasks do paramedics most want help with?
- What audit and sign-off rules would your medical director require?
- Value hypothesis
- A co-designed, audited AI assistant may gain staff acceptance where a top-down rollout would not (interpretation).
- Potential engagement
- A bounded workforce-acceptance survey and co-design workshop before any EMS AI pilot.
- Unsupported claims
- Any time savings or documentation-quality gains
- Improved patient outcomes
- That U.S. paramedics share these attitudes
Pre-sales engineering
Role takeaway
- Fit
- Fits AI documentation and decision support inside existing ePCR workflows with clinician sign-off.
- Architecture and integration
- AI suggestions would feed the ePCR as drafts, with override and audit logging; voice wearables are being tested separately.
- Prerequisites
- ePCR integration access
- Clinical governance approval
- Audit logging of AI suggestions and edits
- Constraints
- Single UK trust attitudes
- No accuracy data for any tool
- Patient data rules vary by jurisdiction
- Security
- Voice and record data are patient health information and need clinical-grade access control and retention rules.
- Proof of value
- Measure clinician edit and override rates on AI drafts
- Re-survey staff trust after a pilot
- Check documentation accuracy against manual records
Delivery
Role takeaway
- Work
- Run co-design, pilot an AI documentation aid with mandatory clinician sign-off, and monitor reliance.
- Dependencies
- Paramedic participation in testing
- ePCR vendor cooperation
- Medical director policy
- Ownership
- EMS medical director with the clinical governance team.
- Skills and adoption
- Training should stress independent clinical reasoning and how to challenge AI output.
- Governance checkpoints
- Policy that the clinician holds final responsibility
- Audit review of AI suggestions
- Staff consultation before scale-up
- Acceptance criteria
- Proposed: majority of pilot staff report trust after audit features are in place
- Proposed: no rise in documentation errors versus baseline
- Risks
- Over-reliance and deskilling
- Unclear liability for wrong suggestions
- Low transferability of attitudes
Implementation considerations
Lighthouse Advisory interpretation across the operating dimensions a public-sector buyer must settle before this evidence becomes a design. Each note answers the question under its heading for this specific source.
Architecture and integration
What must connect, and where does the AI sit in the workflow?
Points toward AI as documentation and decision-support tooling inside ePCR workflows, possibly voice-operated wearables; no system is specified.
Governance
Who approves, reviews and stays accountable for outcomes?
Respondents tie trust to audit processes and accountability and want clinician sign-off retained, which argues for human-final-decision rules in any EMS AI policy.
Security and privacy
What data, permissions and controls need testing?
Not discussed; voice capture and ePCR integration would involve patient health data under clinical governance rules.
Accessibility and workforce
Who is affected, and what skills or accommodations follow?
Shows paramedics want co-design roles and fear deskilling through over-reliance; training must preserve independent clinical reasoning.
Procurement
What should contracts, pricing and exit terms secure?
Buyers could require clinician participation in testing and audit features as procurement conditions.
Operating model
Which teams own the service once it runs?
Supports a model where AI drafts or suggests and the paramedic remains accountable for the clinical decision.
Publication history
- 2026-10-23Emergency Services · Issue 475 resources
Stable resource ID: secamb-para-ai-paramedic-survey-96pct-clinician-responsibility-20261022