ArticleDigital health
AI support in prehospital telemedicine: Perspectives of tele-emergency physicians and ethical considerations.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Artificial Intelligence in Prehospital Tele-Emergency Medicine: A Survey of Acceptance and Attitudes.Healthcare (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Over the past decade, the German tele-emergency medical system (tele-EMS) has undergone continuous expansion. This growth has introduced a range of innovations that have transformed the daily work of tele-EMS physicians. At the same time, it has also brought new challenges, including parallel rescue operations, supra-regional deployments, and an increasing number of patient cases. To address these issues, the utilisation of an artificial intelligence (AI) system developed specifically for tele-EMS physicians was investigated. Methods: As part of a qualitative study, 11 tele-EMS physicians were interviewed to understand their perspective on the implementation of AI in the field of tele-emergency medicine. The interview questionnaire covers a range of topics, including requirements and concerns of tele-EMS physicians regarding the use of the specific AI system, as well as their willingness to work with this system in future. Results: The results of the study reveal that, despite certain concerns and fears, tele-EMS physicians are generally positive about the implementation of AI technology in prehospital tele-emergency medicine. When designed effectively, the system is considered potentially suitable for reducing the workload of tele-EMS physicians and improving the quality of patient care. Conclusions: This study addresses a significant gap in the field of telemedicine research by examining perceptions of tele-EMS physicians regarding the implementation of AI in prehospital tele-emergency medicine, while also outlining critical ethical considerations related to AI integration in tele-emergency care. Furthermore, it provides a set of items for a qualitative interview study that can be easily adapted for use with other medical technologies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.