Assessing the Impact of Digital Radiography on Diagnostic Accuracy in Emergency Departments

Thesis Abstract

In the fast-paced environment of emergency departments, timely and accurate radiological diagnosis is critical to optimal patient management and outcomes; however, the integration of new imaging technologies such as digital radiography (DR) raises questions about its true impact on diagnostic precision. This study aims to evaluate the influence of digital radiography implementation on diagnostic accuracy in emergency settings, with specific objectives to compare diagnostic error rates before and after DR adoption, assess radiologists’ perceptions of image quality and diagnostic confidence, and identify factors influencing diagnostic accuracy with digital technologies. Employing a cross-sectional mixed-methods research design, the study will collect quantitative data through retroactive analysis of 500 patient cases—250 from traditional film-based radiography and 250 from digital radiography—using medical records from two tertiary hospitals over a period of 12 months. Qualitative insights will be gathered via focus group discussions with 30 radiologists and emergency physicians to explore subjective perceptions and operational challenges associated with digital radiography. Data will be analyzed using descriptive statistics, Chi-square tests for categorical variables, and logistic regression to identify determinants of diagnostic errors. Thematic analysis will be applied to qualitative data to uncover perceptions related to image quality and workflow efficiency. It is hypothesized that the transition to digital radiography will significantly reduce diagnostic errors and increase confidence levels among radiologists, aligning with theories of technological acceptance such as the Technology Acceptance Model (TAM) and Dual Process Theory of Diagnostic Reasoning. Key findings are projected to demonstrate a statistically significant decline in misdiagnosis rates—anticipated to drop from 15% in film-based radiography to approximately 8% post-DR implementation—and an increase in diagnostic confidence scores among radiologists from an average of 3.2 to 4.5 on a 5-point Likert scale. The study is expected to reveal that factors such as improved image quality, faster access to images, and enhanced display resolution contributed substantially to increased diagnostic accuracy. The findings will contribute to the existing body of knowledge by empirically substantiating the impact of digital radiography on diagnostic precision in emergency contexts, addressing a gap regarding real-world evidence in comparable clinical settings. Additionally, the study will provide evidence-based recommendations for hospital administrators and radiology practitioners on optimizing digital radiography integration, including training needs and workflow adjustments to maximize diagnostic gains. The main conclusion will suggest that digital radiography significantly enhances diagnostic accuracy and radiologists’ confidence in emergency departments, thus advocating for wider adoption and strategic implementation of digital imaging systems. Recommendations will emphasize the importance of ongoing training, quality assurance protocols, and technological updates to sustain improvements. Future research directions will include longitudinal studies on patient outcomes and cost-benefit analyses to inform healthcare policy decisions. Overall, this study aims to furnish comprehensive insights into the operational and clinical benefits of digital radiography, ultimately contributing to the enhancement of emergency diagnostic services worldwide.