Anrufgründe bei medizinischen Notfällen: Entwicklung eines strukturierten semantischen Modells auf Basis einer randomisierten Stichprobe medizinischer Hilfeersuchen einer integrierten Rettungsleitstelle

Translated title of the contribution: Reasons for calling in medical emergencies: development of a structured semantic model based on a randomised sample of medical emergency calls from an integrated emergency dispatch centre

Barbara Hippler, Patrick Ristau, Carsten Maletzki, Christian Elsenbast*, Fred Blaschke

*Corresponding author for this work

Abstract

Background: Emergency dispatch centres face increasing challenges due to continuously rising numbers of emergency calls. Standardised call handling systems are implemented in many locations to improve the way emergency conversations are structured and prioritised. Current developments in the field of artificial intelligence (AI) have open up new possibilities for decision support for dispatchers. The prerequisite for this is a process-based model of the emergency call dialogue. Objectives: Based on an analysis of the complex reason for emergency calls, the structural characteristics of emergency calls are derived and presented as a model. Materials and methods: In all, 50 randomly selected medical emergency call recordings of an integrated emergency dispatch centre from the year 2022 are transcribed, inductively coded, categorised and transferred into a processual model of the emergency call dialogue using qualitative content analysis. Results: The typical emergency call consists of two consecutive processes: an entry process and a query process. The initial process gathers information to assess whether the reason for the emergency call is a single main problem, a combination of several health issues, or an event before or after a health issue. The query process serves to clarify the description of the condition or problem. Conclusions: Using the randomly selected emergency calls, it was possible to derive the ideal-typical course of the emergency call and illustrate it in a phase or process-like model, which can now be used as a foundation for developing AI-supported emergency call handling systems.

Translated title of the contributionReasons for calling in medical emergencies: development of a structured semantic model based on a randomised sample of medical emergency calls from an integrated emergency dispatch centre
Original languageGerman
JournalNotfall und Rettungsmedizin
ISSN1434-6222
DOIs
Publication statusAccepted/In press - 2024

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