Towards a decision support system for radiotherapy business continuity in a pandemic crisis
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In: Journal of Decision Systems, Vol. 31, No. 1-2, 03.04.2022, p. 40-67.
Research output: Journal contributions › Journal articles › Research › peer-review
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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 -