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Feasibility of a computer-assisted feedback system between dispatch centre and ambulances
Veronica Lindström1, Rolf Karlsten, Ann-Charlotte Falk
1Department of Clinical Science and Education, Karolinska Institutet, Stockholm, Sweden. veronica.lindstrom@ki.se
Summary
A new computer-assisted feedback system for emergency medical services in Stockholm showed high agreement between dispatchers and ambulance nurses. This system
Area of Science:
- Emergency Medical Services
- Health Informatics
- Clinical Communication Systems
Background:
- Effective communication between emergency medical dispatch centers and ambulances is crucial for optimal patient care.
- Existing feedback mechanisms may lack structure, hindering systematic evaluation and improvement of emergency medical responses.
- A novel computer-assisted feedback system was developed to enhance communication within the Swedish emergency medical system.
Purpose of the Study:
- To evaluate the feasibility of a newly developed computer-assisted feedback system.
- To assess the accuracy and utility of feedback codes exchanged between dispatch centers and ambulances in Stockholm.
Main Methods:
- A computer-assisted feedback system, adapted from a Finnish model, was implemented in Stockholm.
- Feedback codes were categorized into patient assessment, transport decisions, and priority levels.
- Data from 530 feedback codes and 240 ambulance assignments were analyzed, comparing ambulance records with feedback codes.
Main Results:
- The feedback codes sent from ambulances to the emergency medical communication center (EMCC) were accurate in 92% of assignments.
- The most frequent feedback code indicated agreement with the dispatcher's assessment.
- A mismatch between dispatcher and ambulance nurse assessments occurred in 160 assignments.
Conclusions:
- The computer-assisted feedback system demonstrated acceptable feasibility with a low error rate.
- The system facilitates structured feedback, enabling medical dispatchers to receive systematic input.
- The EMCC can systematically evaluate protocol changes through structured feedback from ambulances.
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