aceTeleassistance and Artificial Intelligence to Support Prehospital Triage by Emergency Nurses: A Scoping Review
Introduction To map and critically synthesize international evidence on the use of teleassistance and artificial intelligence to support emergency nurses in prehospital triage. Background Digital transformation and artificial intelligence are reshaping emergency care systems. In Europe, emergency nurses working within dispatch and telecommunication centers (112/118; 112 being the pan-European emergency number and 118 being the Italian national emergency medical service number) increasingly manage remote assessme…
Across five included studies, AI and digital triage systems were associated with improved triage consistency and timeliness, and video teleassistance with fewer inappropriate ED transfers and greater nurse confidence.
Only five studies were included, and 72 of 165 reports sought (43.6%) could not be retrieved, mainly because of restricted full-text access, which limits how far the findings can be generalized.
Evidence
- Peer-reviewedJournal of Emergency Nursing2026-10-13
How should this claim be treated?
Truvace Impact Record TRV-2026-2048, v1: “Teleassistance and Artificial Intelligence to Support Prehospital Triage by Emergency Nurses: A Scoping Review.” Truvace, 2026-10-20. /record/TRV-2026-2048 (accessed at citation time). sha256 168de00264b71266…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-2048 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.