NIGHTINGALE

Optimisation of triage and pre-hospitalisation services for emergency medical response

Objective

The NIGHTINGALE project will develop, integrate, test, implement, demonstrate and validate a new integrated toolkit for emergency medical response (NIT-MR – Novel Integrated Toolkit for Emergency Medical Response) which ensures upgrading to pre-hospital life support and triage. This will comprise tools, services and applications required for:

• Update the assessment of the affected injured population and deal with victims (triage), providing them with the means to carry out digital identification, enable traceability, support rapid diagnosis and prognosis and continuous monitoring and enable accurate classification of medical condition;
• Optimising pre-hospital life support and damage control through AI-based location, tracking, targeting and asset, resource and capacity utilisation improvements, as well as enabling continuous monitoring and correlation of vital signs and actions;
• Enable a shared response between emergency medical services, non-medical civil protection personnel, volunteers and citizens. The NIT-MR is provided to emergency medical services, non-medical civil protection personnel, volunteers and citizens for extensive testing, training and validation within a Training and Validation Programme of 5 Round Tables, 3 theoretical exercises, 1 Laboratory Integration and 3 full scale exercises.

Impact

The toolkit developed by NIGHTINGALE should improve triage and pre-hospitalisation procedures, increasing the efficiency and effectiveness of victim treatment, while increasing the awareness, collaboration and coordination of first responders. The updated toolkit and protocols are expected to be tested under realistic conditions in the context of the training and validation programme with health professionals across the EU.

INOV Participation

INOV leads the development and prototyping of a participatory and inclusive solution for Citizens to support the rapid triage of victims of mass causality incidents (MCI) – hardware, application, frontend & functionalities – and participates in the definition of the components and specifications for implementation. INOV also leads the activities to improve the pre-hospital activities and the feasibility of the continuous follow-up of the victims, supervising the definition of the tools, the methodology of robustness and their deployment specificities.

In addition, INOV is responsible for the development of an ad-hoc communication Citizens-to-Citizens through mobile phones, and also participates in the field data analysis and preparation for AI training, and contributes to the study of the interaction between Citizen to Emergency Medical Services (EMS) and the integration of the Public Safety Answering Point with the Information Management System.