Abstract
The EU funded project EUtempe-RX to develop 12 modules for training of medical physics experts (MPEs) in diagnostic and interventional radiology. Each course module provided 80 h of blended learning (a mixture of online and face-to-face training). The effectiveness of high-level blended learning for training MPEs up to EQF level 8 was tested on optimisation in mammography and general radiology. The training methods were evaluated using a questionnaire (89 % response rate) and reviewing participants’ proposed optimisation studies. The online training was the most highly rated part of the module. The participants produced a wide range of feasible and interesting optimisation proposals. All questionnaire responders intend to undertake their study. Overall, the proposals showed a good understanding of the process of optimisation, but some showed weaknesses in applying the results clinically. The blended learning approach showed potential for training MPEs to undertake successful optimisation projects.
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References
European Commission: Council Directive 2013/59/Euratom of 5 December 2013 Laying Down Basic Safety Standards for Protection against the Dangers Arising from Exposure to Ionising Radiation. L13 57, 1977-0677 (2014)
European Commission: Guidelines on Medical Physics Expert. Radiation Protection report 174 (2014)
Bosmans, H., Bliznakova, K., Padovani, R., et al.: EUtempe-RX, an EC supported FP7 project for the training and education of medical physics experts in radiology. Rad. Prot. Dosim. 165, 518–522 (2015)
Jönsson, B.-A., Tabakov, S.D., Aitken, V., et al.: EMERALD and EMIT-worldwide computer aided education and training packages in medical physics. Int. J. InnovSci. Math. 13, 10–15 (2012)
Pinto, A., Brunese, L., Pinto, F., et al.: E-learning and education in radiology. Eur. J. Radiol. 78, 368–371 (2011)
Frehywot, S., Vovides, Y., Talib, Z., et al.: E-learning in medical education in resource constrained low-and middle-income countries. Hum. Resour. Health 11, 1–15 (2013)
European Commission: European Guidelines on Medical Physics Expert: Inventory of learning outcomes for the MPE in Europe. Radiation Protection report 174 Annex 1 (2014)
Lage, M.J., Platt, G.J., Treglia, M.: Inverting the classroom: a gateway to creating an inclusive learning environment. J. Econ. Educ. 31, 30–43 (2000)
Elangovan, P., Warren, L.M., Mackenzie, A., et al.: Development and validation of a modelling framework for simulating 2D-mammography and breast tomosynthesis images. Phys. Med. Biol. 59, 4275–4293 (2014)
Moore, C.S., Beavis, A.W., Saunderson, J.R.: Investigation of optimum X-ray beam tube voltage and filtration for chest radiography with a computed radiography system. Brit. J. Radiol. 81, 771–777 (2014)
Acknowledgements
This project was funded by the European Commission from a 2012 FP7 EC call for European fission training schemes (EFTS) in ‘Nuclear fission, safety and radiation protection’ grant (grant agreement number: 605298). We thank our colleagues who prepared material, lectured and helped to run the module. We also thank the participants of this module for their hard work and enthusiasm during the module and their co-operation with this paper.
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Mackenzie, A., Young, K.C., Creten, S., Van Peteghem, N., Bosmans, H. (2016). Improving the Quality of Optimisation Studies Undertaken in Mammography and General Radiology Using High Level Blended Teaching. In: Tingberg, A., Lång, K., Timberg, P. (eds) Breast Imaging. IWDM 2016. Lecture Notes in Computer Science(), vol 9699. Springer, Cham. https://doi.org/10.1007/978-3-319-41546-8_10
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DOI: https://doi.org/10.1007/978-3-319-41546-8_10
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