Impact of a digital training platform and tailored education on the chest image interpretation performance of healthcare professionals

L. McLaughlin, G. Johnstone, S.L. McFadden, C.M. Hughes, L. Nesbitt, R. Bond, J. McConnell

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

With the use of expert consensus a digital training tool was developed which proved useful when teaching radiographers how to interpret chest images. The training tool included A) a search strategy and B) an educational video programme to communicate the search strategies using eye tracking technology. A multi-reader multi-case study was undertaken to assess the effectiveness of a training tool and study day. The interventions were designed to cover a range of potential pathological presentations. Participants, physiotherapists and nurse practitioners working at a cardiothoracic Intensive Care Unit (ICU), were asked to interpret 20 chest images at the beginning of the study and following access to each intervention. Participants received access to the training tool at different times for a period of 4-6 weeks. A study day was then be provided to all participants and interpretations of a different dataset were completed by all. Each participant was asked to complete a questionnaire to gain perceptions of the training provided. Twenty-eight participants interpreted a total of 1680 chest radiographs. Improvements in specificity were noted across the participants. Sensitivity fell in both groups following both training interventions. Face to face learning and digital components are potentially useful in professional development and revision in chest x-ray interpretation for non-medical healthcare professionals working in an ICU setting. The training tool and study day may be useful as image interpretation revision aids or to accompany formal methods of education. [Abstract copyright: Copyright © 2024. Published by Elsevier Ltd.]
Original languageEnglish
Pages (from-to)1158-1166
Number of pages9
JournalRadiography
Volume30
Issue number4
Early online date6 Jun 2024
DOIs
Publication statusPublished online - 6 Jun 2024

Bibliographical note

Many thanks to Dr Ayman Elsayed and Prof Nick Woznitza for their contribution to the development of the training tool.
No external funding.

Publisher Copyright:
© 2024

Keywords

  • Digital training tool
  • Eye tracking technology
  • Image interpretation checklist

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