Towards a decision support system for radiotherapy business continuity in a pandemic crisis

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Standard

Towards a decision support system for radiotherapy business continuity in a pandemic crisis. / Reuter-Oppermann, Melanie; Müller-Polyzou, Ralf; Georgiadis, Anthimos.
in: Journal of Decision Systems, Jahrgang 31, Nr. 1-2, 03.04.2022, S. 40-67.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Harvard

APA

Vancouver

Reuter-Oppermann M, Müller-Polyzou R, Georgiadis A. Towards a decision support system for radiotherapy business continuity in a pandemic crisis. Journal of Decision Systems. 2022 Apr 3;31(1-2):40-67. Epub 2021 Jul 2. doi: 10.1080/12460125.2021.1947946

Bibtex

@article{0101d5e67efb4505a3f102311ba23e9d,
title = "Towards a decision support system for radiotherapy business continuity in a pandemic crisis",
abstract = "The business continuity of radiotherapy practice is of utmost importance for a safe, effective and efficient fight against cancer. Patients rely on uninterrupted therapies even under adverse conditions. The COVID-19 pandemic has caught many radio- therapy institutions unprepared. Centers worldwide had to find ways to master the extraordinary challenges instantly. However, the lack of knowledge, specific guidelines and mitigation strategies exposed radiotherapy centres to unpredictable risks. Intelligent information systems can support the management of severe incidents. The aim of our research was to develop a decision support system that shall help to maintain safe, sustainable and efficient radiotherapy services in pandemic situa- tions. In this work, we present a text-based conversational agent that informs about mitigation measures for radiotherapy practice during a pandemic crisis.",
keywords = "Engineering, COVID-19, Chatbot, Decision Support System, Radiotherapy",
author = "Melanie Reuter-Oppermann and Ralf M{\"u}ller-Polyzou and Anthimos Georgiadis",
note = "Funding Information: The authors would like to thank Mr. Holger Wirtz for his valuable input from the radiotherapy practice and all participants for their feedback on the conversational agent. We also express our deepest gratitude to all radiotherapy professionals for their continuous efforts during the COVID-19 pandemic. Publisher Copyright: {\textcopyright} 2021 Informa UK Limited, trading as Taylor & Francis Group.",
year = "2022",
month = apr,
day = "3",
doi = "10.1080/12460125.2021.1947946",
language = "English",
volume = "31",
pages = "40--67",
journal = "Journal of Decision Systems",
issn = "1246-0125",
publisher = "Taylor and Francis Ltd.",
number = "1-2",

}

RIS

TY - JOUR

T1 - Towards a decision support system for radiotherapy business continuity in a pandemic crisis

AU - Reuter-Oppermann, Melanie

AU - Müller-Polyzou, Ralf

AU - Georgiadis, Anthimos

N1 - Funding Information: The authors would like to thank Mr. Holger Wirtz for his valuable input from the radiotherapy practice and all participants for their feedback on the conversational agent. We also express our deepest gratitude to all radiotherapy professionals for their continuous efforts during the COVID-19 pandemic. Publisher Copyright: © 2021 Informa UK Limited, trading as Taylor & Francis Group.

PY - 2022/4/3

Y1 - 2022/4/3

N2 - The business continuity of radiotherapy practice is of utmost importance for a safe, effective and efficient fight against cancer. Patients rely on uninterrupted therapies even under adverse conditions. The COVID-19 pandemic has caught many radio- therapy institutions unprepared. Centers worldwide had to find ways to master the extraordinary challenges instantly. However, the lack of knowledge, specific guidelines and mitigation strategies exposed radiotherapy centres to unpredictable risks. Intelligent information systems can support the management of severe incidents. The aim of our research was to develop a decision support system that shall help to maintain safe, sustainable and efficient radiotherapy services in pandemic situa- tions. In this work, we present a text-based conversational agent that informs about mitigation measures for radiotherapy practice during a pandemic crisis.

AB - The business continuity of radiotherapy practice is of utmost importance for a safe, effective and efficient fight against cancer. Patients rely on uninterrupted therapies even under adverse conditions. The COVID-19 pandemic has caught many radio- therapy institutions unprepared. Centers worldwide had to find ways to master the extraordinary challenges instantly. However, the lack of knowledge, specific guidelines and mitigation strategies exposed radiotherapy centres to unpredictable risks. Intelligent information systems can support the management of severe incidents. The aim of our research was to develop a decision support system that shall help to maintain safe, sustainable and efficient radiotherapy services in pandemic situa- tions. In this work, we present a text-based conversational agent that informs about mitigation measures for radiotherapy practice during a pandemic crisis.

KW - Engineering

KW - COVID-19

KW - Chatbot

KW - Decision Support System

KW - Radiotherapy

UR - http://www.scopus.com/inward/record.url?scp=85109288613&partnerID=8YFLogxK

U2 - 10.1080/12460125.2021.1947946

DO - 10.1080/12460125.2021.1947946

M3 - Journal articles

VL - 31

SP - 40

EP - 67

JO - Journal of Decision Systems

JF - Journal of Decision Systems

SN - 1246-0125

IS - 1-2

ER -

DOI