Evaluating Digital Radiography Implementation in Symington Hospital Radiology Department

Thesis Abstract

The transition from traditional film-based radiography to digital radiography (DR) systems represents a significant technological advancement with the potential to enhance diagnostic accuracy, operational efficiency, and patient safety within hospital radiology departments. Despite the widespread adoption of DR systems, its implementation challenges, impacts on workflow, image quality, and staff competency remain areas requiring systematic evaluation. This study focuses on assessing the implementation of digital radiography within Symington Hospital's Radiology Department, aiming to identify factors affecting successful integration and to evaluate its effects on service delivery and clinical outcomes. The primary objective of this research is to evaluate the operational efficiency, image quality, and staff competency post-DR implementation, and to examine the perceived benefits and challenges experienced by radiology staff and clinical users. Specific objectives include (1) identifying infrastructural, technological, and procedural factors influencing DR adoption; (2) assessing the impact of DR on radiography workflow, patient throughput, and diagnostic turnaround times; (3) evaluating image quality and diagnostic accuracy compared to prior systems; (4) exploring staff training, competency development, and user satisfaction; and (5) providing evidence-based recommendations for optimizing DR implementation. A mixed-methods approach underpins this research, combining quantitative data collection through cross-sectional surveys and retrospective analysis of departmental records, with qualitative insights obtained via semi-structured interviews. The study population comprises radiology technologists (n=30), radiologists (n=10), and hospital administrators (n=5), with a purposive sampling technique employed to select participants knowledgeable about the DR system. Quantitative data include operational performance metrics, patient throughput records, and image quality assessment scores, while qualitative data involve thematic analysis of interview transcripts. Data analysis involves descriptive statistics, paired t-tests to compare pre- and post-implementation performance indicators, and regression analysis to identify predictors of successful DR integration. Thematic content analysis interprets qualitative data, guided by the Technology Acceptance Model and Diffusion of Innovations Theory, to elucidate factors influencing staff acceptance and resistance. Reliability and validity of the survey instruments are established through Cronbach’s alpha (?=0.85) and pilot testing, with triangulation of qualitative and quantitative findings ensuring comprehensive insights. It is anticipated that the study will reveal significant improvements in workflow efficiency, reduced patient wait times, and enhanced image clarity attributable to DR. However, challenges such as infrastructural limitations, initial resistance from staff, and periods of technical adaptation are likely to be identified. The findings are expected to contribute to the existing knowledge base by providing empirical evidence on the practical aspects of digital radiography implementation in a hospital setting, offering insights into effective change management, training, and infrastructural planning. The study's main conclusion emphasizes that successful digital radiography adoption requires a holistic approach that encompasses technological readiness, comprehensive staff training, and continuous quality assurance. Recommendations include establishing standardized training protocols, investing in robust IT infrastructure, and fostering a culture of continuous professional development. Finally, the study suggests areas for further research, such as longitudinal assessments of clinical outcomes and patient satisfaction, to deepen understanding of long-term impacts of digital radiography integration in similar institutional contexts.