Assistance systems for patient positioning in radiotherapy practice
Ralf Müller-Polyzou,
Melanie Reuter-Oppermann,
Jasmin Feger,
Nicolas Meier and
Anthimos Georgiadis
Health Systems, 2024, vol. 13, issue 4, 332-360
Abstract:
Effective radiotherapy for cancer treatment requires precise and reproducible positioning of patients at linear accelerators. Assistance systems in digitally networked radiotherapy can help involved specialists perform these tasks more efficiently and accurately. This paper analyses patient positioning systems and develops new knowledge by applying the Design Science Research methodology. A systematic literature review ensures the rigour of the research. Furthermore, this article presents the results of an online survey on assistance systems for patient positioning, the derived design requirements and an artefact in the form of a conceptual model of a patient positioning system. Both the systematic literature review and the online survey serve as empirical evidence for the conceptual model. This paper thereby contributes to broadening the academic knowledge on patient positioning in radiotherapy and provides guidance to system designers.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/20476965.2024.2395567 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:thssxx:v:13:y:2024:i:4:p:332-360
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/thss20
DOI: 10.1080/20476965.2024.2395567
Access Statistics for this article
Health Systems is currently edited by Sally Brailsford
More articles in Health Systems from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().