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Research Area

Model-based medicine and intelligent operating room

Prof. Dr. Thomas Neumuth

Project Leadership

Prof. Dr. Thomas Neumuth

Project Coordination

Tobias Pabst

Partners

    ZTM Bad Kissingen GmbH
    redcapp IT AG
    Berner Fachhochschule

Funder

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Funding

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headline-markerAIDoCS-EMS

AIDoCS-EMS

The AIDoCS-EMS research project develops a speech-based, multimodal assistance system to automate data collection and processing during prehospital emergency care using AI. Emergency services in Germany and Switzerland face growing challenges due to an aging population and staff shortages.

Current documentation practices are manual, error-prone, unhygienic, and time-consuming.

AIDoCS-EMS aims to create a locally operable platform that integrates spoken communication with automatically captured vital signs and mission data. It generates real-time documentation, including reports and billing data, and securely transmits them to hospitals and control centers.

The system adaptively supports emergency personnel by suggesting questions, reducing cognitive load, and ensuring complete records. Designed for harsh field conditions, it meets the highest standards in data protection, medical terminology, and usability.