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Operations & systems
AI voice assistants in EMS: survey
A multinational cross-sectional survey on the use of AI-based voice assistance systems in emergency medical services
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine · Added 16 September 2026
Multinational survey of 401 EMS clinicians in Germany, Norway and Switzerland exploring how AI-based voice assistance systems could be designed for prehospital care — respondents were technically proficient and already using digital tools mainly for documentation, knowledge access, hospital pre-notification and occupancy checks, with the study mapping requirements, expectations and implementation obstacles rather than testing clinical outcomes.
- Study type
- Cross-sectional
- Design
- Multinational cross-sectional online survey (Germany, Norway, Switzerland)
- Participants
- 401 EMS clinicians (587 responses, 186 excluded)
- Main finding
- Digital tools used mainly for documentation, knowledge access, hospital pre-notification and occupancy checks; positive attitude towards voice assistants in missions; desired features include translation, patient history summarisation and documentation; key barriers are staff acceptance, funding and data protection.
- Caveat
- Survey of attitudes and requirements only — no clinical outcomes tested; European respondents may not generalise to Australian EMS.
- Bottom line
- Context only
Why it matters in Australia (Medium relevance). Acceptance/requirements survey only; no outcome data and no such system deployed in ACTAS, but it speaks directly to documentation and clinical-support workflows ACTAS shares.
Learning goal
Understand the barriers and enablers shaping how AI voice assistance could support Australian paramedic documentation and communication.
More
- Topic: Operations & systems
- Daily scan: 16 September 2026
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