Journal of Medical Radiation Sciences (Dec 2024)

Operational challenges and collaborative solutions in radiology image interpretation: perspectives from imaging departments in a low‐resource setting

  • Abel Karera,
  • Florence Davidson,
  • Penelope Engel‐Hills

DOI
https://doi.org/10.1002/jmrs.815
Journal volume & issue
Vol. 71, no. 4
pp. 564 – 572

Abstract

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Abstract Introduction Medical imaging's critical role in diagnosis requires prompt and precise image interpretation. Numerous radiology departments, especially in low‐resourced settings, encounter challenges such as a shortage of radiologists in their operational setup. This study explored the perceptions of radiographers and radiologists from low‐resourced departments in a single country regarding operational challenges and potential solutions in image interpretation. Methods A qualitative approach was utilised, involving heads of departments, senior radiographers, and radiologists with a minimum of 5 years of experience, from three major state referral hospitals. Face‐to‐face, semi‐structured interviews were conducted in November 2022, using an interview guide that included questions on the challenges encountered during image interpretation and the proposed solutions. Data analysis was conducted using Atlas.ti version 9.0, following the four‐step content analysis method. All participants willingly provided consent to participate in the study. Results Ten participants, comprising two radiologists and eight radiographers participated in the study. The research identified three main themes: image interpretation pathways, image interpretation operational challenges and proposed solutions for image interpretation. In addition, a total of 10 subthemes were generated from the three main themes. Conclusion The study revealed critical challenges and the need to explore the formal inclusion of radiographers in image interpretation, as a way to improve efficiency. However, a comprehensive assessment of the image interpretation system, encompassing radiographers' knowledge and competence, is recommended for context‐specific, empirical‐based modifications to enhance service provision.

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