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Integrated and adaptive responses to toxic emergencies for rapid triage: Engineering the roadmap from casualty to patient to survivor

Funding: EU H2020-SEC

Topic: DRS-02-2014 - Tools for detection, traceability, triage and individual monitoring of victims after a mass CBRNE contamination and/or exposure

Duration: 01.09.2015 - 31.08.2019



TOXI-triage address the operational; technological; ethical and societal dimensions of CBRN response and recovery, and importantly the economic base from which sustainable CBRN and multiuse systems are derived. The approach defines a concept of operations that envisages accelerated delivery of situational awareness through an ensemble of embedded sensors, drones, standoff detectors (including cameras), artificial intelligence for processing sensor signals and web-traffic from social media, and centralised command and control. Wireless traceability of casualties provides dynamic mapping including medical care. 2 field exercises are intended to test and verify the operational attributes of the systems.

Research Approach

  • rapid non-invasive assessment of exposure/ injury through monitoring
  • metabolic markers of injury; managing and exploiting the semantic web; traceability by design; aptamer-based biosensing
  • casualty-to-discharge system integration
  • integrated environmental and stand-off hazard designation


  • Accelerated delivery of Situational Awareness
  • C&C with AI assisted decision making
  • Point-of-care diagnostic tests with integrated casualty tracking
  • CBRN field toolbox with automated guidance
  • Protocol for the registration of CBRN injury biomarkers with EMA
  • Framework for ethical and accountable CBRN operations
  • A sustainable CBRN economy though dual use systems

Work Packages of the C.I.K.

  • Determine perspectives of involved end-users
  • Integrate end user requirements with emerging technologies (stand-off CBRN detection payloads for drone platforms, point-of-care triage analytics, on-site environmental survey analytics, laboratory system for B-detection, casualty tracing system, ICT tool for distributed knowledge extraction, dynamic semantic modelling and embedded reasoning and integrated system)

This project has received funding from the European Union’s Horizon 2020 (H2020) research and innovation programme under the Grant Agreement no 653409.


Dipl.-Inf. Therese Habig

Computeranwendung und Integration in Konstruktion und Planung

Therese Habig
+49 5251 60-2234
+49 5251 60-3206

Office hours:

Upon request via email.

The University for the Information Society