Open AccessIntegrated modelling of medical emergency response process for improved coordination and decision support
Author(s) -
Milis George,
Kolios Panayiotis,
Van Melick Gaby,
Staykova Toni,
Helsloot Ira,
Ellinas Georgios,
Panayiotou Christos,
Polycarpou Marios
Publication year - 2016
Publication title -
healthcare technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.45
H-Index - 19
ISSN - 2053-3713
DOI - 10.1049/htl.2016.0039
Subject(s) - computer science , emergency response , petri net , process (computing) , domain (mathematical analysis) , decision support system , workspace , event (particle physics) , identification (biology) , key (lock) , process management , data science , risk analysis (engineering) , process modeling , work in process , distributed computing , data mining , artificial intelligence , computer security , operations management , engineering , robot , medicine , mathematical analysis , physics , botany , mathematics , quantum mechanics , biology , medical emergency , operating system
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.