Identifying user assistance systems for radiotherapy to increase efficiency and help saving lives

Research output: Journal contributionsJournal articlesResearchpeer-review

Standard

Identifying user assistance systems for radiotherapy to increase efficiency and help saving lives. / Müller-Polyzou, Ralf; Reuter-Oppermann, Dr. Melanie; Engbert, Anke et al.
In: Health Systems, Vol. 10, No. 4, 02.10.2021, p. 318-336.

Research output: Journal contributionsJournal articlesResearchpeer-review

Harvard

Müller-Polyzou, R, Reuter-Oppermann, DM, Engbert, A & Schmidt, R 2021, 'Identifying user assistance systems for radiotherapy to increase efficiency and help saving lives', Health Systems, vol. 10, no. 4, pp. 318-336. https://doi.org/10.1080/20476965.2020.1803148

APA

Vancouver

Müller-Polyzou R, Reuter-Oppermann DM, Engbert A, Schmidt R. Identifying user assistance systems for radiotherapy to increase efficiency and help saving lives. Health Systems. 2021 Oct 2;10(4):318-336. Epub 2020 Aug 30. doi: 10.1080/20476965.2020.1803148

Bibtex

@article{630a95a85b5a4940b26005075bf2b137,
title = "Identifying user assistance systems for radiotherapy to increase efficiency and help saving lives",
abstract = "Increasing efficiency and reducing risk in radiotherapy cancer treatment is of high importance. User assistance systems within a digitally connected radiotherapy environment can support all involved professionals to perform their individual tasks faster and better. This paper presents a qualitative analysis of radiotherapy workflows and a corresponding process modelling in order to identify hypothetical user assistance systems for specific process activities. In addition, the results of an empirical study on the identified systems are presented together with derived requirements and design principles for these systems. A structured online survey with 50 medical physicists in Germany has been conducted. Among others the acceptance, the increase of perceived efficiency and the risk reduction while using the assistance systems are analysed and discussed. The results support the creation of value adding user assistance systems for radiotherapy that improve efficiency, reduce treatment risks and reach high user acceptance levels.",
keywords = "User assistance, business process modelling, cancer, design science research, radiotherapy, workflow, Engineering",
author = "Ralf M{\"u}ller-Polyzou and Reuter-Oppermann, {Dr. Melanie} and Anke Engbert and Raphael Schmidt",
note = "Publisher Copyright: {\textcopyright} Operational Research Society 2020.",
year = "2021",
month = oct,
day = "2",
doi = "10.1080/20476965.2020.1803148",
language = "English",
volume = "10",
pages = "318--336",
journal = "Health Systems",
issn = "2047-6965",
publisher = "Taylor & Francis",
number = "4",

}

RIS

TY - JOUR

T1 - Identifying user assistance systems for radiotherapy to increase efficiency and help saving lives

AU - Müller-Polyzou, Ralf

AU - Reuter-Oppermann, Dr. Melanie

AU - Engbert, Anke

AU - Schmidt, Raphael

N1 - Publisher Copyright: © Operational Research Society 2020.

PY - 2021/10/2

Y1 - 2021/10/2

N2 - Increasing efficiency and reducing risk in radiotherapy cancer treatment is of high importance. User assistance systems within a digitally connected radiotherapy environment can support all involved professionals to perform their individual tasks faster and better. This paper presents a qualitative analysis of radiotherapy workflows and a corresponding process modelling in order to identify hypothetical user assistance systems for specific process activities. In addition, the results of an empirical study on the identified systems are presented together with derived requirements and design principles for these systems. A structured online survey with 50 medical physicists in Germany has been conducted. Among others the acceptance, the increase of perceived efficiency and the risk reduction while using the assistance systems are analysed and discussed. The results support the creation of value adding user assistance systems for radiotherapy that improve efficiency, reduce treatment risks and reach high user acceptance levels.

AB - Increasing efficiency and reducing risk in radiotherapy cancer treatment is of high importance. User assistance systems within a digitally connected radiotherapy environment can support all involved professionals to perform their individual tasks faster and better. This paper presents a qualitative analysis of radiotherapy workflows and a corresponding process modelling in order to identify hypothetical user assistance systems for specific process activities. In addition, the results of an empirical study on the identified systems are presented together with derived requirements and design principles for these systems. A structured online survey with 50 medical physicists in Germany has been conducted. Among others the acceptance, the increase of perceived efficiency and the risk reduction while using the assistance systems are analysed and discussed. The results support the creation of value adding user assistance systems for radiotherapy that improve efficiency, reduce treatment risks and reach high user acceptance levels.

KW - User assistance

KW - business process modelling

KW - cancer

KW - design science research

KW - radiotherapy

KW - workflow

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85085346137&partnerID=8YFLogxK

U2 - 10.1080/20476965.2020.1803148

DO - 10.1080/20476965.2020.1803148

M3 - Journal articles

C2 - 34745592

VL - 10

SP - 318

EP - 336

JO - Health Systems

JF - Health Systems

SN - 2047-6965

IS - 4

ER -