Optimising design of clinical decision support systems and implementation strategies to improve radiological imaging appropriateness – A qualitative study in the emergency department

Abstract

BACKGROUND: There is existing evidence demonstrating the potential effectiveness of clinical decision support systems (CDSS) for appropriate imaging. However, the uptake of this technology and other similar evidence-based interventions has been highly variable. We explored the factors that influence clinicians' acceptance of CDSS, while also examining strategies that can further support and promote appropriate imaging in the emergency department (ED), as perceived by ED physicians. METHODS: We adhered to established focus group (FG) frameworks and conducted interviews with a convenience sample of ED physicians in the largest acute tertiary hospital in Singapore. A semi-structured interview guide was developed through collaborative discussions with colleagues in radiology and emergency medicine, including radiographers, experienced ED physicians, and radiologists. Sessions were audio-recorded, transcribed, and analysed. We followed Braun and Clarke's reflexive thematic analysis for data engagement, coding, and theme development. RESULTS: We interviewed 16 ED physicians (9 specialists and 7 non-specialists) in separate groups over five virtual sessions. We constructed two salient themes: (1) the features and design of a CDSS are crucial for increasing the uptake of appropriate imaging, and (2) strategies to support appropriate imaging in emergency medicine. Participants described personal experiences and expressed strategies and solutions to some of the challenges faced. Strategies exist at the human, technological, and organisational levels to promote appropriate imaging in the ED. CONCLUSION: Participants expressed their expectations regarding the design and features of CDSS as end users. Many strategies to optimise the implementation of CDSS in the ED for appropriate imaging exist and can encourage acceptance by ED physicians.

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