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
Publisher's version
License
Output statusPublished
Permalink -

https://repository.canterbury.ac.uk/item/91424/an-insight-into-the-current-perceptions-of-uk-radiographers-on-the-future-impact-of-ai-on-the-profession-a-cross-sectional-survey

Download files

Publisher's version
PIIS193986542200282X.pdf
License: CC BY 4.0

  • 141
    total views
  • 51
    total downloads
  • 6
    views this month
  • 6
    downloads this month

Export as

Related outputs

An implementation facilitation intervention to improve the musculoskeletal X‑ray reporting by radiographers across London
Lockwood, P., Burton, C., Shaw, T., Woznitza, N., Compton, E., Groombridge, H., Hayes, N., Mane, U., O'Brien, A. and Patterson, S. 2025. An implementation facilitation intervention to improve the musculoskeletal X‑ray reporting by radiographers across London. BMC Health Services Research. 25 (248), p. 1. https://doi.org/10.1186/s12913-025-12356-x
Accuracy of interpretation of nasogastric tube position on chest radiographs by diagnostic radiographers: A multi-case, multi-reader study
Creeden, A., McFadden, S., Ather, S. and Woznitza, N. 2025. Accuracy of interpretation of nasogastric tube position on chest radiographs by diagnostic radiographers: A multi-case, multi-reader study. Radiography. 31 (1), pp. 83-88. https://doi.org/10.1016/j.radi.2024.10.022
Achieving earlier diagnosis of symptomatic lung cancer
Bradley, S., Baldwin, D., Bhartia, B., Black, G., Callister, Matthew Ej, Clayton, Karen, Eccles, Sinan R, Evison, Matthew, Fox, Jesme, Hamilton, W., Konya, J., Lee, Richard W, Bradley, S., Navani, Neal, Noble, Ben, Quaife, Samantha L, Randle, Amelia, Rawlinson, Janette, Richards, Michael, Woznitza, Nick and O'Dowd, Emma 2024. Achieving earlier diagnosis of symptomatic lung cancer. The British Journal of General Practice : The Journal of the Royal College of General Practitioners. 75 (750), pp. 40-43. https://doi.org/10.3399/bjgp25X740493
Artificial intelligence (AI) for paediatric fracture detection: a multireader multicase (MRMC) study protocol.
Shelmerdine, S., Pauling, Cato, Allan, Emma, Langan, Dean, Ashworth, Emily, Yung, Ka-Wai, Barber, Joy, Haque, Saira, Rosewarne, David, Woznitza, N., Ather, S., Novak, A., Theivendran, Kanthan and Arthurs, O. 2024. Artificial intelligence (AI) for paediatric fracture detection: a multireader multicase (MRMC) study protocol. BMJ Open. 14 (12), p. e084448. https://doi.org/10.1136/bmjopen-2024-084448
Evaluating the impact of artificial intelligence-assisted image analysis on the diagnostic accuracy of front-line clinicians in detecting fractures on plain X-rays (FRACT-AI): protocol for a prospective observational study.
Novak, A., Hollowday, Max, Espinosa Morgado, A., Oke, Jason, Shelmerdine, S., Woznitza, N., Metcalfe, David, Costa, Matthew L, Wilson, S., Kiam, Jian Shen, Vaz, J., Limphaibool, N., Ventre, Jeanne, Jones, Daniel, Greenhalgh, Lois, Gleeson, Fergus, Welch, Nick, Mistry, Alpesh, Devic, Natasa, Teh, James and Ather, S. 2024. Evaluating the impact of artificial intelligence-assisted image analysis on the diagnostic accuracy of front-line clinicians in detecting fractures on plain X-rays (FRACT-AI): protocol for a prospective observational study. BMJ Open. 14 (9), p. e086061. https://doi.org/10.1136/bmjopen-2024-086061
A survey of the NHS reporting radiographer workforce in England
Lockwood, P., Burton, C., Shaw, T. and Woznitza, N. 2024. A survey of the NHS reporting radiographer workforce in England. Radiography Open. 10 (1), pp. 1-18. https://doi.org/10.7577/radopen.5635
Reporting radiographers within the European Federation of Radiographer Society (EFRS) member countries - motivation for becoming a reporting radiographer.
Jensen, J, Blackburn, P A, Gale, N, Senior, C, Woznitza, N, Heales, C J and Pedersen, M R V 2024. Reporting radiographers within the European Federation of Radiographer Society (EFRS) member countries - motivation for becoming a reporting radiographer. Radiography. 30 (3), pp. 731-736. https://doi.org/S1078-8174(24)00055-5
AI assisted reader evaluation in acute CT head interpretation (AI-REACT): protocol for a multireader multicase study
Howell Fu, Alex Novak, Dennis Robert, Shamie Kumar, Swetha Tanamala, Jason Oke, Kanika Bhatia, Ruchir Shah, Andrea Romsauerova, Tilak Das, Abdalá Espinosa, Mariusz Tadeusz Grzeda, Mariapaola Narbone, Rahul Dharmadhikari, Mark Harrison, Kavitha Vimalesvaran, Jane Gooch, Nicholas Woznitza, Nabeeha Salik, Alan Campbell, Farhaan Khan, David J Lowe, Haris Shuaib and Sarim Ather 2024. AI assisted reader evaluation in acute CT head interpretation (AI-REACT): protocol for a multireader multicase study. BMJ Open. 14 (2), p. e079824. https://doi.org/10.1136/bmjopen-2023-079824
Reporting radiographers in Europe survey: An overview of the role within the European Federation of Radiographer Society (EFRS) member countries
Pedersen, M.R. V., Jensen, J., Senior, C., Gale, N., Heales, C. J. and Woznitza, N. 2023. Reporting radiographers in Europe survey: An overview of the role within the European Federation of Radiographer Society (EFRS) member countries. Radiography. 29 (6), pp. 1100-1107. https://doi.org/10.1016/j.radi.2023.09.005
Assessing the barriers and enablers to the implementation of the diagnostic radiographer musculoskeletal X‑ray reporting service within the NHS in England: a systematic literature review
Lockwood, P., Burton, C., Woznitza, N. and Shaw, T. 2023. Assessing the barriers and enablers to the implementation of the diagnostic radiographer musculoskeletal X‑ray reporting service within the NHS in England: a systematic literature review. BMC Health Services Research. 23 (1270), pp. 1-41. https://doi.org/10.1186/s12913-023-10161-y
Reporting radiographers in Europe survey: Support, role satisfaction, and advanced clinical practice within the European federation of radiographer society (EFRS) member countries.
Pedersen, M. R. V., Jensen, J., Gale, N., Senior, C., Woznitza, N. and Heales, C. J. 2023. Reporting radiographers in Europe survey: Support, role satisfaction, and advanced clinical practice within the European federation of radiographer society (EFRS) member countries. Radiography. 30 (1), pp. 87-94. https://doi.org/10.1016/j.radi.2023.10.008
Concordance between a gastrointestinal consultant radiologist, a consultant radiologist and qualified reporting radiographers interpreting abdominal radiographs
Moth, A., Benning, J., Glover, J, Brown, V., Pittock, L., Woznitza, N. and Piper, K. 2023. Concordance between a gastrointestinal consultant radiologist, a consultant radiologist and qualified reporting radiographers interpreting abdominal radiographs. Radiography. 29 (2), pp. 408-415. https://doi.org/10.1016/j.radi.2022.12.008
Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study.
van de Venter, Riaan, Skelton, Emily, Matthew, Jacqueline, Woznitza, N., Tarroni, Giacomo, Hirani, Shashivadan P, Kumar, Amrita, Malik, Rizwan and Malamateniou, Christina 2023. Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study. Insights into Imaging. 14 (1), p. 25. https://doi.org/10.1186/s13244-023-01372-2
A pilot study to assess radiographer preliminary clinical evaluation (PCE) introduced for emergency department adult appendicular X-ray examinations: Comparison of trained and untrained radiographers.
Lidgett, T, Pittock, L, Piper, K and Woznitza, N 2023. A pilot study to assess radiographer preliminary clinical evaluation (PCE) introduced for emergency department adult appendicular X-ray examinations: Comparison of trained and untrained radiographers. Radiography. 29 (2), pp. 307-312. https://doi.org/10.1016/j.radi.2023.01.003
Impact of radiographer immediate reporting of X-rays of the chest from general practice on the lung cancer pathway (radioX): a randomised controlled trial
Woznitza, N., Ghimire, B., Devaraj, A., Janes, S., Piper, K., Rowe, S., Bhowmik, A., Hayes, N., Togher, D., Arumalla, N., Skyllberg, E., Au-Yong, I., Geary, S., George, B., Sheard, S., Ellis, S., Shah, Z., Maughn, S., Duffy, S. and Baldwin, D. 2022. Impact of radiographer immediate reporting of X-rays of the chest from general practice on the lung cancer pathway (radioX): a randomised controlled trial. Thorax. https://doi.org/10.1136/thorax-2022-219210
UK reporting radiographers' perceptions of AI in radiographic image interpretation - Current perspectives and future developments.
Rainey, C., O'Regan, T., Matthew, J., Skelton, E., Woznitza, N., Chu, K.-Y., Goodman, S., McConnell, J., Hughes, C., Bond, R., Malamateniou, C. and McFadden, S. 2022. UK reporting radiographers' perceptions of AI in radiographic image interpretation - Current perspectives and future developments. Radiography. 28 (4), pp. 881-888. https://doi.org/S1078-8174(22)00075-X
Five years of #MedRadJClub: An impact evaluation of an established twitter journal club
Bolderston, A., Meeking, Kim, Sniath, B., Watson, Julia, Westerink, Adam and Woznitza, N. 2022. Five years of #MedRadJClub: An impact evaluation of an established twitter journal club. Journal of Medical Radiation Sciences. 69 (2), pp. 165-173. https://doi.org/10.1002/jmrs.569
The role of computer-assisted radiographer reporting in lung cancer screening programmes
Hall, H., Ruparel, M., Quaife, S., Dickson, J. L., Horst, C., Tisi, S., Batty, J., Woznitza, N., Ahmed, A, Burke, S., Shaw, P., Soo, M. J., Taylor, M., Navani, N., Bhowmik, A, Baldwin, D. R., Duffy, S. W, Devaraj, A., Nair, A. and Janes, S. M. 2022. The role of computer-assisted radiographer reporting in lung cancer screening programmes. European Radiology. https://doi.org/10.1007/s00330-022-08824-1
Beauty is in the AI of the beholder: Are we ready for the clinical integration of Artificial Intelligence in radiography? An exploratory analysis of perceived AI knowledge, skills, confidence, and education perspectives of UK radiographers
Rainey, Clare, O'Regan, Tracy, Matthew, Jacqueline, Skelton, Emily, Woznitza, Nick, Chu, Kwun-Ye, Goodman, Spencer, McConnell, Jonathan, Hughes, Ciara, Bond, Raymond, McFadden, Sonyia and Malamateniou, Christina 2021. Beauty is in the AI of the beholder: Are we ready for the clinical integration of Artificial Intelligence in radiography? An exploratory analysis of perceived AI knowledge, skills, confidence, and education perspectives of UK radiographers. Frontiers in Digital Health. 3, p. 739327. https://doi.org/10.3389/fdgth.2021.739327
Diagnostic radiographer advanced clinical practice in the United Kingdom – A national cross-sectional survey
Woznitza, N., Pittock, Lisa, Elliott, James and Snaith, Bev 2021. Diagnostic radiographer advanced clinical practice in the United Kingdom – A national cross-sectional survey. BJR Open. 3 (1), p. 20210003. https://doi.org/10.1259/bjro.20210003
Artificial Intelligence in radiography: Where are we now and what does the future hold?
Malamateniou, C., Knapp, K. M., Pergola, M., Woznitza, N. and Hardy, M. 2021. Artificial Intelligence in radiography: Where are we now and what does the future hold? Radiography. 27 (Supplement 1), pp. S58-S62. https://doi.org/10.1016/j.radi.2021.07.015
Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group
Malamateniou, C., McFadden, S., McQuinlan, Y., England, A., Woznitza, N., Goldsworthy, S, Currie, C., Skelton, E., Chu, K-Y., Alware, N., Matthews, P., Hawkesford, R., Tucker, R., Town, W., Matthew, J., Kalinka, C. and O'Regan, T. 2021. Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group. Radiography. 27 (4), pp. 1192-1202. https://doi.org/10.1016/j.radi.2021.07.028
Digital mammographic interpretation by UK radiographer mammographers: A JAFROC analysis of observer performance
Williams, S., Aksoy, U., Reed, W., Cielecki, L. and Woznitza, N. 2021. Digital mammographic interpretation by UK radiographer mammographers: A JAFROC analysis of observer performance. Radiography. https://doi.org/10.1016/j.radi.2021.02.015
Concordance between a neuroradiologist, a consultant radiologist and trained reporting radiographers interpreting MRI head examinations: An empirical study
Piper, K., Mitchell, M., Griffin, K., Morgan,T., Roy, A., Thomas, A., Pittock, L., Woznitza, N., Faruqui, R. and Sakel, M. 2020. Concordance between a neuroradiologist, a consultant radiologist and trained reporting radiographers interpreting MRI head examinations: An empirical study. Radiography. https://doi.org/10.1016/j.radi.2020.10.016
An analysis of advanced and specialist posts in diagnostic radiography: Do job descriptions describe advanced practice?
Harris, M. A., Snaith, B., Adamson, H. K., Foster, B. and Woznitza, N. 2020. An analysis of advanced and specialist posts in diagnostic radiography: Do job descriptions describe advanced practice? Radiography. https://doi.org/10.1016/j.radi.2020.10.008
COVID-19 and pneumothorax: a multicentre retrospective case series
Martinelli, A. W., Ingle, T, Newman, J., Nadeem, I., Jackson, K., Lane, N. D., Melhorn, J., Davies, H. E., Rostron, A. J., Adeni, A., Conroy, K., Woznitza, N., Matson, M., Brill, S. E., Murray, J., Shah, A., Naran, R., Hare, S. S., Collas, O., Bigham, S., Spiro, M., Huang, M. M., Iqbal, B., Trenfield, S., Ledot, S., Desai, S., Standing, L., Babar, J., Mahroof, R., Smith, I., Lee, K., Tchrakian, N., Uys, S., Ricketts, W., Patel, A. R. C., Aujayeb, A., Kokosi, M., Wilkinson, A. J. K. and Marciniak, S. J. 2020. COVID-19 and pneumothorax: a multicentre retrospective case series. European Respiratory Journal. 56 (3). https://doi.org/10.1183/13993003.02697-2020
Clinical reporting of radiographs by radiographers: Policy and practice guidance for regional imaging networks
Woznitza, N., Steele, R., Groombridge, H., Compton, E., Gower, S., Hussain, A., Norman, H., O'Brien, A. and Robertson, K. 2020. Clinical reporting of radiographs by radiographers: Policy and practice guidance for regional imaging networks. Radiography. https://doi.org/10.1016/j.radi.2020.08.004
Reporting radiographer peer review systems: a cross-sectional survey of London NHS Trusts
Woznitza, N., Steele, R, Hussain, A., Gower, S., Groombridge, H., Lofton, L., Lainchbury, J., Compton, E., Rowe, S. and Robertson, K. 2020. Reporting radiographer peer review systems: a cross-sectional survey of London NHS Trusts. Radiography. https://doi.org/10.1016/j.radi.2020.07.014
Coronavirus disease 2019 (COVID-19) in the radiology department: what radiographers need to know
Stogiannos, N., Fotopoulos, D., Woznitza, N. and Malamateniou, C. 2020. Coronavirus disease 2019 (COVID-19) in the radiology department: what radiographers need to know. Radiography. https://doi.org/10.1016/j.radi.2020.05.012
COVID-19: A case series to support radiographer preliminary clinical evaluation
Woznitza, N., Nair, A. and Hare, S. S. 2020. COVID-19: A case series to support radiographer preliminary clinical evaluation. Radiography. https://doi.org/10.1016/j.radi.2020.04.002
Delivery of a preliminary clinical evaluation web based short course in Finland
Pittock, L. and Woznitza, N. 2019. Delivery of a preliminary clinical evaluation web based short course in Finland.
Impact of radiographer immediate reporting of chest x-rays from general practice on the lung cancer pathway (radioX)
Woznitza, N., Devaraj, A., Janes, S., Duffy, S., Rowe, S., Bhowmik, A., Maughn, S., Piper, K. and Baldwin, D. 2019. Impact of radiographer immediate reporting of chest x-rays from general practice on the lung cancer pathway (radioX).
Greater than the sum of the parts: Impact of radiographer clinical image interpretation
Rowe, Susan, O'Riordan, Paul and Woznitza, Nick 2019. Greater than the sum of the parts: Impact of radiographer clinical image interpretation. Journal of Medical Radiation Sciences. 66 (3), pp. 149-151. https://doi.org/10.1002/jmrs.342
Targeted active screening for tuberculosis in Zimbabwe: are field digital chest X-ray ratings reliable?
Timire, C, Sandy, C., Ngwenya, M., Woznitza, N., Kumar, A. M. V., Takarinda, K. C., Sengai, T. and Harries, A. D. 2019. Targeted active screening for tuberculosis in Zimbabwe: are field digital chest X-ray ratings reliable? Public Health Action. 9 (3), pp. 96-101. https://doi.org/10.5588/pha.19.0003
Radiographer reporting of neurological magnetic resonance imaging examinations of the head and cervical spine: findings of an accredited postgraduate programme
Piper, K., Pittock, L. and Woznitza, N. 2018. Radiographer reporting of neurological magnetic resonance imaging examinations of the head and cervical spine: findings of an accredited postgraduate programme. Radiography. https://doi.org/10.1016/j.radi.2018.05.006
Increasing radiology capacity within the lung cancer pathway: centralised work‐based support for trainee chest X‐ray reporting radiographers
Woznitza, N., Steele, R., Piper, K., Burke, S., Rowe, S., Bhowmik, A., Maughn, S. and Springett, K. 2018. Increasing radiology capacity within the lung cancer pathway: centralised work‐based support for trainee chest X‐ray reporting radiographers. Journal of Medical Radiation Sciences. 65 (3), pp. 200-208. https://doi.org/10.1002/jmrs.285
Is a nurse consultant impact toolkit relevant and transferable to the radiography profession? An evaluation project
Snaith, B., Williams, S., Taylor, K., Tsang, Y., Kelly, J. and Woznitza, N. 2018. Is a nurse consultant impact toolkit relevant and transferable to the radiography profession? An evaluation project. Radiography. https://doi.org/10.1016/j.radi.2018.05.001
Chest X-ray interpretation by Radiographers is not inferior to Radiologists: a multireader, multicase comparison using JAFROC (Jack-knife alternative free-response receiver operating characteristics) analysis
Woznitza, N., Piper, K., Burke, S. and Bothamley, G. 2018. Chest X-ray interpretation by Radiographers is not inferior to Radiologists: a multireader, multicase comparison using JAFROC (Jack-knife alternative free-response receiver operating characteristics) analysis. Academic Radiology.
Agreement between expert thoracic radiologists and the chest radiograph reports provided by consultant radiologists and reporting radiographers in clinical practice: review of a single clinical site
Woznitza, N., Piper, K., Burke, S., Ellis, S. and Bothamley, G. 2018. Agreement between expert thoracic radiologists and the chest radiograph reports provided by consultant radiologists and reporting radiographers in clinical practice: review of a single clinical site. Radiography. https://doi.org/10.1016/j.radi.2018.01.009
Digital training platform for interpreting radiographic images of the chest
McLauchlin, L., Woznitza, N., Cairns, A., McFadden, S., Bond, R., Hughes, C., Elsayed, A., Finlay, D. and McConnell, J. 2018. Digital training platform for interpreting radiographic images of the chest. Radiography. 24 (2), pp. 159-164. https://doi.org/10.1016/j.radi.2017.12.010
Immediate reporting of chest X-rays referred from general practice by reporting radiographers: a single centre feasibility study
Woznitza, N., Piper, K., Rowe, S. and Bhowmik, A. 2017. Immediate reporting of chest X-rays referred from general practice by reporting radiographers: a single centre feasibility study. Clinical Radiology. https://doi.org/10.1016/j.crad.2017.11.016
Twitter journal clubs and continuing professional development: An analysis of a #MedRadJClub tweet chat
Bolderston, A., Watson, J., Woznitza, N., Westerink, A., Di Prospero, L., Currie, G., Beardmore, C. and Hewis, J. 2017. Twitter journal clubs and continuing professional development: An analysis of a #MedRadJClub tweet chat. Radiography. 24 (1), pp. 3-8. https://doi.org/10.1016/j.radi.2017.09.005
Becoming a clinical radiographer: role, role development and specialisation
Woznitza, N. 2017. Becoming a clinical radiographer: role, role development and specialisation.
Radiographer reporting of magnetic resonance imaging breast examinations: findings of an accredited postgraduate programme
Pittock, L., Piper, K. and Woznitza, N. 2017. Radiographer reporting of magnetic resonance imaging breast examinations: findings of an accredited postgraduate programme.
Impact of radiographer immediate reporting of chest X-rays from general practice on the lung cancer pathway (radioX): study protocol for a randomised control trial
Woznitza, N., Devaraj, A., Janes, S., Duffy, S., Bhowmik, A., Rowe, S., Piper, K., Maughn, S. and Baldwin, D. 2017. Impact of radiographer immediate reporting of chest X-rays from general practice on the lung cancer pathway (radioX): study protocol for a randomised control trial. Trials. 18 (521). https://doi.org/10.1186/s13063-017-2268-x
Expanding the role of radiographers in reporting suspected lung cancer: a cost-effectiveness analysis using a decision tree model
Bajre, M., Pennington, M., Woznitza, N., Beardmore, C., Radhakrishnan, M., Harris, R. and Mccrone, P. 2017. Expanding the role of radiographers in reporting suspected lung cancer: a cost-effectiveness analysis using a decision tree model. Radiography. 23 (4), pp. 273-278. https://doi.org/10.1016/j.radi.2017.07.011
Twitter journal club in medical radiation science
Currie, G., Woznitza, N., Bolderston, A., Weserink, A., Watson, J., Beardmore, C., Di Prospero, L., McCuig, C. and Nightingale, J. 2017. Twitter journal club in medical radiation science. Journal of Medical Imaging and Radiation Sciences. 48 (1), pp. 83-89. https://doi.org/10.1016/j.jmir.2016.09.001
Optimisation de la prise en charge en Rafiologie: Approts des manipulateurs experts interprétant des examens: Cas pratique au Royaume Uni
Woznitza, N., Piper, K., West, C. and Rowe, S. 2014. Optimisation de la prise en charge en Rafiologie: Approts des manipulateurs experts interprétant des examens: Cas pratique au Royaume Uni.
Team working in radiology: optimising care
Woznitza, N. 2016. Team working in radiology: optimising care.
Advanced practice in diagnostic imaging
Woznitza, N. 2016. Advanced practice in diagnostic imaging.
Team working in radiology: what is possible?
Woznitza, N., Piper, K., Ratcliff, C., McGuinness, N. and Rowe, S. 2016. Team working in radiology: what is possible?
The Twitter Journal Club for Medical Radiation Professionals (#medradjclub): CPD/CE for the 21st century
Currie, G., Woznitza, N., Bolderston, A., Westerink, A., Waton, J., Beardmore, C., Di Prospero, L., McCuaig, C. and Nightingale, J. 2016. The Twitter Journal Club for Medical Radiation Professionals (#medradjclub): CPD/CE for the 21st century.
Bloom’s taxonomy of Twitter: higher order thinking and the Twitter Journal Club
Currie, G., Woznitza, N., Bolderston, A., Westerink, A., Watson, J., Beardmore, C., Di Prospero, L., McCuaig, C. and Nightingale, J. 2016. Bloom’s taxonomy of Twitter: higher order thinking and the Twitter Journal Club. Society of Nuclear Medicine and Molecular Imaging.
Chest x-ray interpretation by radiographers: diagnostic accuracy and influence on diagnostic reasoning
Woznitza, N., Piper, K., Burke, S. and Bothamley, G. 2016. Chest x-ray interpretation by radiographers: diagnostic accuracy and influence on diagnostic reasoning.
Diagnostic accuracy of radiographer chest x-ray reporting
Woznitza, N., Piper, K., Burke, S. and Bothamley, G. 2016. Diagnostic accuracy of radiographer chest x-ray reporting.
The diagnostic accuracy of reporting radiographer chest x-ray interpretations and their influence on clinicians’ diagnostic decision-making: a comparison with consultant radiologists
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?