Assessing the Impact of Digital Radiography Adoption in Urban Hospital Settings

Thesis Abstract

The transition from traditional film-based radiography to digital radiography (DR) within urban hospital settings represents a significant technological advancement aimed at enhancing diagnostic efficiency, image quality, and operational workflows. Despite the widespread adoption of DR systems in several metropolitan healthcare facilities, comprehensive assessments of their impact on clinical outcomes, operational performance, and staff perceptions remain limited. This study aims to evaluate the multifaceted effects of digital radiography implementation in urban hospitals, focusing on its influence on diagnostic accuracy, patient throughput, cost-effectiveness, and staff adaptability. The specific objectives include (1) to measure changes in image quality and diagnostic accuracy pre- and post-DR adoption; (2) to assess the impact of DR on patient throughput times; (3) to analyze the cost implications associated with DR transition; (4) to evaluate radiographers’ perceptions of workflow changes and user-friendliness; and (5) to identify operational challenges and facilitators during the adoption process. Employing a mixed-methods research design, the study integrates quantitative and qualitative approaches to afford a comprehensive understanding of DR's impact. Quantitative data were collected from two urban hospital radiology departments through retrospective analysis of radiographic reports, workflow logs, and financial records over a two-year period—before and after DR implementation—resulting in a sample size of 500 radiographic cases per hospital. Descriptive statistics, paired t-tests, and regression analysis were utilized to examine differences in diagnostic accuracy, workflow efficiency, and cost parameters. On the qualitative side, semi-structured interviews with 20 radiographers and radiology department managers were conducted, and thematic analysis was applied to explore perceptions, challenges, and adaptation strategies associated with DR adoption. The theoretical underpinning draws on the Technology Acceptance Model (TAM) to interpret staff perceptions and the Diffusion of Innovations theory to contextualize organizational change processes. The anticipated findings suggest significant improvements in image quality and diagnostic accuracy following DR integration, with a corresponding reduction in patient processing time by an estimated 30%. Cost analysis is projected to reveal a reduction in film-related expenses by approximately 40%, although initial capital investments pose a transitional financial challenge. Staff perceptions are expected to reflect a generally positive attitude toward workflow efficiency; however, concerns related to technical training and system integration persist, highlighting the importance of comprehensive change management. These results are expected to contribute to the existing literature by providing empirical evidence of DR’s practical benefits and barriers within the context of urban healthcare facilities, bridging the gap between technological capability and clinical practice. Additionally, the study seeks to develop a conceptual framework illustrating factors influencing successful DR adoption in similar settings. The study concludes that digital radiography substantially enhances diagnostic performance and operational efficiency in urban hospitals, yet emphasizes that successful integration hinges on targeted staff training, adequate infrastructural support, and strategic change management. Recommendations include the development of standardized protocols for DR implementation, investment in continuous professional development, and fostering organizational cultures that support ongoing technological adaptation. Furthermore, the research advocates for longitudinal studies to monitor long-term impacts and the integration of emerging digital imaging innovations. Ultimately, this study contributes valuable insights for healthcare administrators, radiology professionals, and policymakers committed to optimizing imaging services within urban health systems through effective technological integration.