Prevalence of software alerts in radiotherapy.

Alerts Fatigue Incident reporting system Patient safety

Journal

Technical innovations & patient support in radiation oncology
ISSN: 2405-6324
Titre abrégé: Tech Innov Patient Support Radiat Oncol
Pays: England
ID NLM: 101762366

Informations de publication

Date de publication:
Jun 2020
Historique:
received: 15 11 2019
revised: 07 04 2020
accepted: 07 04 2020
entrez: 23 6 2020
pubmed: 23 6 2020
medline: 23 6 2020
Statut: epublish

Résumé

Radiotherapy software messages (sometimes called alerts, pop-up windows, alarms, or error messages) to the user appear continuously on computer screens. These software messages sometimes require decisions to be made as to the next appropriate action. However, mainly these messages are for information only. Dealing with software messages is a well-recognized problem in healthcare and has contributed to catastrophic events both outside and within radiotherapy. The purpose of this work is to highlight the prevalence and raise awareness within the radiotherapy community of such software messages related to external beam radiation therapy procedures at the linear accelerator. Radiation Therapists (RTTs) were asked to record the type and frequency of software message over 50 fractions and for 50 different patients. The data was collected at 6 institutions in the Netherlands using linear accelerators from Elekta, Ltd. and Varian Medical Systems, Inc. Results show that linear accelerator software messages (including record and verify) occur at a rate of about 8.9 messages per patient fraction. This number of software messages is potentially impacting on patient safety as these messages range in level of importance. The impact and potential reduction of these software messages should be the focus of future research and improved implementation.

Identifiants

pubmed: 32566767
doi: 10.1016/j.tipsro.2020.04.002
pii: S2405-6324(20)30010-X
pmc: PMC7296428
doi:

Types de publication

Journal Article

Langues

eng

Pagination

32-35

Informations de copyright

© 2020 The Authors.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Références

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Auteurs

Petra Reijnders-Thijssen (P)

Department of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, Netherlands.

Diana Geerts (D)

Department of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, Netherlands.

Wouter van Elmpt (W)

Department of Radiation Oncology (MAASTRO), GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, Netherlands.

Todd Pawlicki (T)

Department of Radiation Medicine and Applied Sciences, UC San Diego, La Jolla, CA, USA.

Andrew Wallis (A)

Liverpool & Macarthur Cancer Therapy Centres, Liverpool, BC, Australia.

Mary Coffey (M)

Discipline of Radiation Therapy School of Medicine, Trinity College Dublin, Dublin, Ireland.

Classifications MeSH