Integrated modelling of medical emergency response process for improved coordination and decision support

George Milis; Panayiotis Kolios; Gaby Van Melick; Toni Staykova; Ira Helsloot; Georgios Ellinas; Christos Panayiotou; Marios Polycarpou

Integrated modelling of medical emergency response process for improved coordination and decision support

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Author(s): George Milis ¹ ; Panayiotis Kolios ¹ ; Gaby Van Melick ² ; Toni Staykova ³ ; Ira Helsloot ² ; Georgios Ellinas ¹ ; Christos Panayiotou ¹ ; Marios Polycarpou ¹
- Affiliations: 1: KIOS Research Center for Intelligent Systems and Networks, University of Cyprus, Aglantzia, Cyprus ;
  2: CrisisLab, Renswoude, The Netherlands ;
  3: Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
Source: Volume 3, Issue 3, September 2016, p. 197 – 204
DOI: 10.1049/htl.2016.0039 , Online ISSN 2053-3713

Received 10/05/2016, Accepted 18/07/2016, Revised 11/07/2016, Published 23/08/2016

The medical emergency response comprises a domain with complex processes, encompassing multiple heterogeneous entities, from organisations involved in the response to human actors to key information sources. Due to the heterogeneity of the entities and the complexity of the domain, it is important to fully understand the individual processes in which the components are involved and their inter-operations, before attempting to design any technological tool for coordination and decision support. This work starts with the gluing together and visualisation of the interactions of involved entities into a conceptual model, along the identified five workspaces of emergency response. The modelling visualises the domain processes, in a way that reveals the necessary communication and coordination points, the required data sources and data flows, as well as the required decision support needs. Work continues with the identification and modelling of the event-driven discrete-time-based dynamics of the emergency response processes and their compositions, using Petri nets as the modelling technique. Subsequently, an integrated model of the process is presented, which facilitates the parallelisation of the tasks undertaken in an emergency incident.

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