Optimisation of preparedness and response of health services in major crises using the IMPRESS platform

N. Dobrinkova; Thomas Finnie; J. Thompson; I. Hall; C. Dimopoulos; G. Boustras; Y. Danidou; N. Efstathiou; C. Psaroudakis; N. Koutras; G. Eftichidis; I. Gkotsis; M. Heckel; A. Olunczek; R. Hedel; A. Kostaridis; M. Moutzouris; S. Panunzi; G. Seynaeve; S. Tsekeridou; D. Vergeti

doi:10.1007/978-3-319-99648-6_2

Optimisation of preparedness and response of health services in major crises using the IMPRESS platform

N. Dobrinkova, Thomas Finnie, J. Thompson, I. Hall, C. Dimopoulos, G. Boustras, Y. Danidou, N. Efstathiou, C. Psaroudakis, N. Koutras, G. Eftichidis, I. Gkotsis, M. Heckel, A. Olunczek, R. Hedel, A. Kostaridis, M. Moutzouris, S. Panunzi, G. Seynaeve, S. TsekeridouD. Vergeti

Statistics

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

We present the IMPRESS software system; a tool that can support the first responders in cases of disaster management and resources allocation and the optimisation of response to large-scale emergencies. This is a multi-level architecture system that has desktop and mobile interfaces, supporting the decision makers with different modules. Every module has been designed in a way that the data can be unified, no matter the source, and the related calculation engines are providing optimized information for both the users in the incident management centre and on the field. In this article IMPRESS system components are presented, among the validation and optimization activities during the demonstrations implemented in Palermo, Italy (field test exercise), Podgorica, Montenegro (field test exercise) and Sofia, Bulgaria (table top exercise).

Original language	English
Title of host publication	Studies in Computational Intelligence
Editors	S. Fidanova
Place of Publication	Cham
Publisher	Springer Nature Switzerland AG
Pages	15-34
Number of pages	20
ISBN (Electronic)	9783319996486
ISBN (Print)	9783319996479, 9783030076184
DOIs	https://doi.org/10.1007/978-3-319-99648-6_2
Publication status	Published - 19 Sept 2018

Keywords

Impressive Platform
Impressive System
Field Exercise Tests
Mass Casualty Incidents (MCI)
IMPRESS Solution

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-99648-6_2

Cite this

Dobrinkova, N., Finnie, T., Thompson, J., Hall, I., Dimopoulos, C., Boustras, G., Danidou, Y., Efstathiou, N., Psaroudakis, C., Koutras, N., Eftichidis, G., Gkotsis, I., Heckel, M., Olunczek, A., Hedel, R., Kostaridis, A., Moutzouris, M., Panunzi, S., Seynaeve, G., ... Vergeti, D. (2018). Optimisation of preparedness and response of health services in major crises using the IMPRESS platform. In S. Fidanova (Ed.), Studies in Computational Intelligence (pp. 15-34). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-319-99648-6_2

@inbook{cc69f3c579414bc4b08c8238584e376b,

title = "Optimisation of preparedness and response of health services in major crises using the IMPRESS platform",

abstract = "We present the IMPRESS software system; a tool that can support the first responders in cases of disaster management and resources allocation and the optimisation of response to large-scale emergencies. This is a multi-level architecture system that has desktop and mobile interfaces, supporting the decision makers with different modules. Every module has been designed in a way that the data can be unified, no matter the source, and the related calculation engines are providing optimized information for both the users in the incident management centre and on the field. In this article IMPRESS system components are presented, among the validation and optimization activities during the demonstrations implemented in Palermo, Italy (field test exercise), Podgorica, Montenegro (field test exercise) and Sofia, Bulgaria (table top exercise).",

keywords = "Impressive Platform, Impressive System, Field Exercise Tests, Mass Casualty Incidents (MCI), IMPRESS Solution",

author = "N. Dobrinkova and Thomas Finnie and J. Thompson and I. Hall and C. Dimopoulos and G. Boustras and Y. Danidou and N. Efstathiou and C. Psaroudakis and N. Koutras and G. Eftichidis and I. Gkotsis and M. Heckel and A. Olunczek and R. Hedel and A. Kostaridis and M. Moutzouris and S. Panunzi and G. Seynaeve and S. Tsekeridou and D. Vergeti",

year = "2018",

month = sep,

day = "19",

doi = "10.1007/978-3-319-99648-6_2",

language = "English",

isbn = "9783319996479",

pages = "15--34",

editor = "S. Fidanova",

booktitle = "Studies in Computational Intelligence",

publisher = "Springer Nature Switzerland AG",

address = "Switzerland",

}

Dobrinkova, N, Finnie, T, Thompson, J, Hall, I, Dimopoulos, C, Boustras, G, Danidou, Y, Efstathiou, N, Psaroudakis, C, Koutras, N, Eftichidis, G, Gkotsis, I, Heckel, M, Olunczek, A, Hedel, R, Kostaridis, A, Moutzouris, M, Panunzi, S, Seynaeve, G, Tsekeridou, S & Vergeti, D 2018, Optimisation of preparedness and response of health services in major crises using the IMPRESS platform. in S Fidanova (ed.), Studies in Computational Intelligence. Springer Nature Switzerland AG, Cham, pp. 15-34. https://doi.org/10.1007/978-3-319-99648-6_2

TY - CHAP

T1 - Optimisation of preparedness and response of health services in major crises using the IMPRESS platform

AU - Dobrinkova, N.

AU - Finnie, Thomas

AU - Thompson, J.

AU - Hall, I.

AU - Dimopoulos, C.

AU - Boustras, G.

AU - Danidou, Y.

AU - Efstathiou, N.

AU - Psaroudakis, C.

AU - Koutras, N.

AU - Eftichidis, G.

AU - Gkotsis, I.

AU - Heckel, M.

AU - Olunczek, A.

AU - Hedel, R.

AU - Kostaridis, A.

AU - Moutzouris, M.

AU - Panunzi, S.

AU - Seynaeve, G.

AU - Tsekeridou, S.

AU - Vergeti, D.

PY - 2018/9/19

Y1 - 2018/9/19

N2 - We present the IMPRESS software system; a tool that can support the first responders in cases of disaster management and resources allocation and the optimisation of response to large-scale emergencies. This is a multi-level architecture system that has desktop and mobile interfaces, supporting the decision makers with different modules. Every module has been designed in a way that the data can be unified, no matter the source, and the related calculation engines are providing optimized information for both the users in the incident management centre and on the field. In this article IMPRESS system components are presented, among the validation and optimization activities during the demonstrations implemented in Palermo, Italy (field test exercise), Podgorica, Montenegro (field test exercise) and Sofia, Bulgaria (table top exercise).

AB - We present the IMPRESS software system; a tool that can support the first responders in cases of disaster management and resources allocation and the optimisation of response to large-scale emergencies. This is a multi-level architecture system that has desktop and mobile interfaces, supporting the decision makers with different modules. Every module has been designed in a way that the data can be unified, no matter the source, and the related calculation engines are providing optimized information for both the users in the incident management centre and on the field. In this article IMPRESS system components are presented, among the validation and optimization activities during the demonstrations implemented in Palermo, Italy (field test exercise), Podgorica, Montenegro (field test exercise) and Sofia, Bulgaria (table top exercise).

KW - Impressive Platform

KW - Impressive System

KW - Field Exercise Tests

KW - Mass Casualty Incidents (MCI)

KW - IMPRESS Solution

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85053528795&partnerID=MN8TOARS

U2 - 10.1007/978-3-319-99648-6_2

DO - 10.1007/978-3-319-99648-6_2

M3 - Chapter

SN - 9783319996479

SN - 9783030076184

SP - 15

EP - 34

BT - Studies in Computational Intelligence

A2 - Fidanova, S.

PB - Springer Nature Switzerland AG

CY - Cham

ER -

Optimisation of preparedness and response of health services in major crises using the IMPRESS platform

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this