An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey.

Journal article

Rainey, Clare, O'Regan, Tracy, Matthew, Jacqueline, Skelton, Emily, Woznitza, Nick, Chu, Kwun-Ye, Goodman, Spencer, McConnell, Jonathan, Hughes, Ciara, Bond, Raymond, Malamateniou, Christina and McFadden, Sonyia 2022. An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey. Journal of Medical Imaging and Radiation Sciences. https://doi.org/S1939-8654(22)00282-X
AuthorsRainey, Clare, O'Regan, Tracy, Matthew, Jacqueline, Skelton, Emily, Woznitza, Nick, Chu, Kwun-Ye, Goodman, Spencer, McConnell, Jonathan, Hughes, Ciara, Bond, Raymond, Malamateniou, Christina and McFadden, Sonyia
AbstractAs a profession, radiographers have always been keen on adapting and integrating new technologies. The increasing integration of artificial intelligence (AI) into clinical practice in the last five years has been met with scepticism by some, who predict the demise of the profession, whilst others suggest a bright future with AI, full of opportunities and synergies. Post COVID-19 pandemic need for economic recovery and a backlog of medical imaging and reporting may accelerate the adoption of AI. It is therefore timely to appreciate practitioners' perceptions of AI used in clinical practice and their perception of the short-term impact on the profession. This study aims to explore the perceptions of AI in the UK radiography workforce and to investigate its current AI applications and future technological expectations of radiographers. An online survey (Qualtrics ) was created by a team of radiography AI experts. The survey was disseminated via social media and professional networks in the UK. Demographic information and perceptions of the impact of AI on several aspects of the radiography profession were gathered, including the current use of AI in practice, future expectations and the perceived impact of AI on the profession. 411 responses were collected (80% diagnostic radiographers (DR); 20% therapeutic radiographers (TR)). Awareness of AI used in clinical practice is low, with DR respondents suggesting AI will have the most value/potential in cross sectional imaging and image reporting. TR responses linked AI as having most value in treatment planning, contouring, and image acquisition/matching. Respondents felt that AI will impact radiographers' daily work (DR, 79.6%; TR, 88.9%) by standardising some aspects of patient care and technical factors of radiography practice. A mixed response about impact on careers was reported. Respondents were unsure about the ways in which AI is currently used in practice and how AI will impact on careers in the future. It was felt that AI integration will lead to increased job opportunities to contribute to decision making as an end user. Job security was not identified as a cause for concern. [Abstract copyright: Copyright © 2022. Published by Elsevier Inc.]
KeywordsRadiography; AI; Artificial Intelligence
Year2022
JournalJournal of Medical Imaging and Radiation Sciences
PublisherElsevier
ISSN1876-7982
Digital Object Identifier (DOI)https://doi.org/S1939-8654(22)00282-X
https://doi.org/10.1016/j.jmir.2022.05.010
Official URLhttps://www.jmirs.org/article/S1939-8654(22)00282-X/fulltext
Publication dates
Online14 Jun 2022
Publication process dates
Deposited16 Jun 2022
Accepted24 May 2022
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Woznitza, N. 2016. The diagnostic accuracy of reporting radiographer chest x-ray interpretations and their influence on clinicians’ diagnostic decision-making: a comparison with consultant radiologists. PhD Thesis Canterbury Christ Church University School of Allied Health Professions
The radiography workforce: current challenges and changing needs
Beardmore, C., Woznitza, N., Goodman, S. and Society & College of Radiographers 2016. The radiography workforce: current challenges and changing needs. College of Radiographers.
Chest reporting by radiographers: Findings of an accredited postgraduate programme.
Piper, K., Cox, S., Paterson, A., Thomas, A., Thomas, N., Jeyagopal, N. and Woznitza, N. 2014. Chest reporting by radiographers: Findings of an accredited postgraduate programme. Radiography. 20 (2), pp. 94-99. https://doi.org/10.1016/j.radi.2014.01.003
Adult chest radiograph reporting by radiographers: Preliminary data from an in-house audit programme
Woznitza, N., Piper, K., Burke, S., Patel, K., Amin, S., Grayson, K. and Bothamley, G. 2014. Adult chest radiograph reporting by radiographers: Preliminary data from an in-house audit programme. Radiography. 20 (3), pp. 223-229. https://doi.org/10.1016/j.radi.2014.03.002
Optimizing patient care in radiology through team-working: A case study
Woznitza, N., Piper, K., Rowe, S. and West, C. 2014. Optimizing patient care in radiology through team-working: A case study. Radiography. 20 (3), pp. 258-263. https://doi.org/10.1016/j.radi.2014.02.007
Chest x-ray agreement: comparative analysis between consultant radiologists, reporting radiographers and expert chest radiologists
Woznitza, N., Piper, K., Burke, S., Ellis, S. and Bothamley, G. 2015. Chest x-ray agreement: comparative analysis between consultant radiologists, reporting radiographers and expert chest radiologists.
Conceptualisation of the characteristics of advanced practitioners in the medical radiation profession
Smith, Tony, Harris, J., Woznitza, N., Marese, S. and Sale, C. 2015. Conceptualisation of the characteristics of advanced practitioners in the medical radiation profession. Journal of Medical Radiation Sciences. 62 (3), pp. 204-211. https://doi.org/10.1002/jmrs.115
e-Learning for Healthcare – Image Interpretation Project
Woznitza, N., e-Learning for Healthcare and College of Radiographers 2012. e-Learning for Healthcare – Image Interpretation Project. e-Learning for Healthcare.
An unusual cause of respiratory distress
Woznitza, N., Datsopolous, S., Shukla, R. and Aladangady, N. 2012. An unusual cause of respiratory distress. Archives of Disease in Childhood. 97, pp. A12-A13. https://doi.org/10.1136/archdischild-2012-301885.30
Chest X-Ray interpretation: agreement between consultant radiologists and a reporting radiographer in clinical practice in the United Kingdom
Woznitza, N., Piper, K., Burke, S., Patel, K., Amin, S. and Grayson, K. 2013. Chest X-Ray interpretation: agreement between consultant radiologists and a reporting radiographer in clinical practice in the United Kingdom.
Radiographer clinical reporting
Woznitza, N. 2014. Radiographer clinical reporting.
Commentary: radiographer reporting
Woznitza, N. 2014. Commentary: radiographer reporting. Journal of Medical Radiation Sciences. 61 (2), pp. 66-68. https://doi.org/10.1002/jmrs.51
Do you see what I see? Clinical review of discordant chest x-ray consultant radiologist and radiographer interpretations
Woznitza, N., Piper, K., Bothamley, G. and Burke, S. 2014. Do you see what I see? Clinical review of discordant chest x-ray consultant radiologist and radiographer interpretations.
Optimizing patient care in radiology through team-working: audit data
Woznitza, N. 2014. Optimizing patient care in radiology through team-working: audit data.
Optimizing neonatal X-ray quality: results of an audit
Woznitza, N., Hayes, N., Malshava, N. and McGuinness, D. 2014. Optimizing neonatal X-ray quality: results of an audit.
Agreement in neonatal x-ray interpretation: a comparison between consultant paediatric radiologists and a reporting radiographer
Woznitza, N., Piper, K., Aladangady, N., Iliadis, K., Prakash, R. and Santos, R. 2014. Agreement in neonatal x-ray interpretation: a comparison between consultant paediatric radiologists and a reporting radiographer.
Advanced radiographic practice in adult chest imaging
Woznitza, N. 2014. Advanced radiographic practice in adult chest imaging.
Can reporting radiographers produce clinically relevant reports?
Woznitza, N. and Piper, K. 2011. Can reporting radiographers produce clinically relevant reports?