AI Enabled Healthcare Services During Cross-Border Medical Emergency and Regular Patient Services (ESCORT project): System architecture and first results in Emergency Medicine Scenario

The ESCORT project (ESCORT Project, 2024) aims at connecting up-to-date IoT Wearables, Artificial Intelligence and Machine Learning towards building a framework for a better cross border response for medical emergencies and public health protection and resilience. The ESCORT project brings together healthcare providers from five European member states and one associated member Israel specialized in emergency medicine and offering regular health and care services. New and better integrated digital services have been designed in consultation with stakeholders including patients, patient advocacy groups, health and care service professionals and providers. This paper presents a detailed outline of the project goals and ambitions supplemented by the requirements considered in the development of the overall platform architecture. Out of the 10 tools identified for integration in the project, two will be further elaborated with initial requirements that have been collected, and a first analysis of the solutions will be presented.

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Journal
Proceedings of the ... International ISCRAM Conference
Published
2025-08-03
DOI
https://doi.org/10.59297/ferb2m71
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

AI Enabled Healthcare Services During Cross-Border Medical Emergency and Regular Patient Services (ESCORT project): System architecture and first results in Emergency Medicine Scenario

Sofia Tsekeridou, Incinur Zellhuber, Themistoklis Anagnostopoulos, Garik Markarian et al.
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Proceedings of the ... International ISCRAM Conference
Artificial Intelligence in Healthcare and Education
article

AI Enabled Healthcare Services During Cross-Border Medical Emergency and Regular Patient Services (ESCORT project): System architecture and first results in Emergency Medicine Scenario

Sofia Tsekeridou, Incinur Zellhuber, Themistoklis Anagnostopoulos, Garik Markarian, Sabina Magalini, Krishna Chandramouli, George Floros, Daniele Gui, Maurizio Martignano, Savvas Petanidis, Michael Weber, Filopoimin Lykokanellos
article en

Abstract

The ESCORT project (ESCORT Project, 2024) aims at connecting up-to-date IoT Wearables, Artificial Intelligence and Machine Learning towards building a framework for a better cross border response for medical emergencies and public health protection and resilience. The ESCORT project brings together healthcare providers from five European member states and one associated member Israel specialized in emergency medicine and offering regular health and care services. New and better integrated digital services have been designed in consultation with stakeholders including patients, patient advocacy groups, health and care service professionals and providers. This paper presents a detailed outline of the project goals and ambitions supplemented by the requirements considered in the development of the overall platform architecture. Out of the 10 tools identified for integration in the project, two will be further elaborated with initial requirements that have been collected, and a first analysis of the solutions will be presented.

Proceedings of the ... International ISCRAM Conference
Università Cattolica del Sacro Cuore (IT), Aristotle University of Thessaloniki (GR), Rinicom (United Kingdom) (GB), INTRASOFT International (Luxembourg) (LU), 3M (Germany) (DE)
Openalex Percentile: Top 48%
Artificial Intelligence in Healthcare and Education
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