The relationship between age of digital mammography systems and number of reported faults and downtime.
Breast screening
Downtime
Faults
Mammography
Journal
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
ISSN: 1724-191X
Titre abrégé: Phys Med
Pays: Italy
ID NLM: 9302888
Informations de publication
Date de publication:
Jun 2022
Jun 2022
Historique:
received:
05
01
2022
revised:
28
03
2022
accepted:
27
04
2022
pubmed:
9
5
2022
medline:
27
5
2022
entrez:
8
5
2022
Statut:
ppublish
Résumé
To investigate the relationship between age of mammographic x-ray equipment, and number of reported faults and related consequences. A centralised online fault reporting database is used by all UK breast screening programmes to collate faults with mammography equipment. Data on faults occurring in 2018 and 2019 for digital x-ray imaging systems were analysed. The effect of the age of mammography systems on the number of equipment faults, and the consequences of these faults was examined. The number of days downtime, number of cancelled appointments, number of repeated images, and number of recalled participants were used to quantify the severity of faults. This analysis covers a two year period and includes 4271 faults and 522 individual x-ray sets. On average, an x-ray set was 6.1 years old at the time when a fault occurred. 77% of x-ray sets experienced five of fewer annual faults. X-ray sets of nine years old had the highest average number of annual faults. Systems of ten years old had the highest average number of days downtime per year, and the highest average number of cancellations per year. The indicated primary use of 48% of the x-ray sets included in this analysis was screening, but a disproportionate 87% of cancelled appointments occurred due to faults on these units compared to those used primarily for assessment, or for a mixture of assessment and screening. Information from this unique dataset can be used to support guidance on equipment replacement programmes for mammographic x-ray sets.
Identifiants
pubmed: 35526372
pii: S1120-1797(22)01971-8
doi: 10.1016/j.ejmp.2022.04.015
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
113-121Informations de copyright
Crown Copyright © 2022. Published by Elsevier Ltd. All rights reserved.