Using a digital transformation framework to explore the experiences of radiographers in the use of digital radiography in a low-resource setting

Introduction: Digital radiography (DR) systems have revolutionised radiographers' experiences, particularly those accustomed to analogue methods. Despite the advantages, DR poses challenges due to its cost and technical requirements, especially in low-resource settings. Zambia, predominantly reliant on analogue systems, is gradually transitioning to DR. Understanding radiographers' experiences with DR is crucial for leveraging its benefits. Therefore, this study aimed to explore the experiences of Zambian radiographers with DR using the digital transformation framework (DTF). Methods: This qualitative method employed a descriptive phenomenological approach to interview 14 radiographers from five governmental hospitals in the Copperbelt province of Zambia. Interviews were conducted face-to-face, digitally audio-recorded, transcribed, and analysed using Colaizzi's (1978) phenomenological framework and Natural Language Processing (NLP). Results: Following data analysis, three main themes were developed: education and training in DR, departmental workflow in DR, and challenges of DR. The findings revealed predominantly positive experiences among radiographers using DR, with improved patient waiting times, image quality, workflow efficiency, and job satisfaction. However, challenges such as technological adaptation and system breakdowns were identified. Conclusion: The study highlighted the positive experiences of radiographers during the initial implementation of DR in Zambian medical facilities. Although challenges exist, the findings suggest that they can be overcome by improving infrastructure and training, thereby maximising the benefits of DR. Implication of practice: The positive experiences demonstrated by radiographers in implementing DR in Zambian medical facilities indicate that targeted training and infrastructure improvements can enhance workflow efficiency, image quality, and overall patient care. (c) 2024 The College of Radiographers. Published by Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.