Digital training platform for interpreting radiographic images of the chest
Journal article
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
| Authors | McLauchlin, L., Woznitza, N., Cairns, A., McFadden, S., Bond, R., Hughes, C., Elsayed, A., Finlay, D. and McConnell, J. |
|---|---|
| Abstract | Introduction: Time delays and errors exist which lead to delays in patient care and misdiagnosis. Reporting clinicians follow guidance to form their own search strategy. However, little research has tested these training guides. With the use of eye tracking technology and expert input we developed a digital training platform to be used in chest image interpretation learning. Methods: Two sections of a digital training platform were planned and developed; A) a search strategy training tool to assist reporters during their interpretation of images, and B) an educational tool to communicate the search strategies of expert viewers to trainees by using eye tracking technology. Results: A digital training platform for use in chest image interpretation was created based on evidence within the literature, expert input and two search strategies previously used in clinical practice. Images and diagrams, aiding translation of the platform content, were incorporated where possible. The platform is structured to allow the chest image interpretation process to be clear, concise and methodical. Conclusion: A search strategy was incorporated within the tool to investigate its use, with the possibility that it could be recommended as an evidence based approach for use by reporting clinicians. Eye tracking, a checklist and voice recordings have been combined to form a multi-dimensional learning tool, which has never been used in chest image interpretation learning before. The training platform for use in chest image interpretation learning has been designed, created and digitised. Future work will establish the efficacy of the developed approaches. |
| Year | 2018 |
| Journal | Radiography |
| Journal citation | 24 (2), pp. 159-164 |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.radi.2017.12.010 |
| Publication dates | |
| May 2018 | |
| Publication process dates | |
| Deposited | 11 Jan 2018 |
| Accepted | 30 Dec 2017 |
| Accepted author manuscript | |
| Output status | Published |
Permalink -
https://repository.canterbury.ac.uk/item/887qw/digital-training-platform-for-interpreting-radiographic-images-of-the-chest
Download files
Accepted author manuscript
193
total views192
total downloads5
views this month0
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-xAccuracy 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.2024.10.022Achieving 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/bjgp25X740493Artificial 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-2024-084448Evaluating 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-2024-086061A 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.5635Reporting 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)00055-5AI 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-2023-079824Reporting 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.2023.09.005Assessing 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.2023.10.008Concordance 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.2022.12.008Artificial 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/s13244-023-01372-2A 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.2023.01.003Impact 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-2022-219210UK 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-XAn insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey.
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-XFive 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.569The 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/s00330-022-08824-1Beauty 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.2021.739327Diagnostic 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.20210003Artificial 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.2021.07.015Artificial 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.2021.07.028Digital 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.2021.02.015Concordance 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.2020.10.016An 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.2020.10.008COVID-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/10.1183/13993003.02697-2020Clinical 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.2020.08.004Reporting 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.2020.07.014Coronavirus 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.2020.05.012COVID-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.2020.04.002Delivery 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.342Targeted 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.19.0003Radiographer 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