Intelligent imaging triage systems for reducing waiting anxiety: a narrative review

Abstract

The delay in medical imaging exams can cause significant anxiety, impacting patient adherence, imaging quality, and overall experience. Intelligent imaging triage systems, driven by artificial intelligence in radiology, aim to improve examination processes and reduce patient anxiety. This review discusses the prevalence of patient anxiety during waiting periods, as well as the physiological and psychological mechanisms. In addition, the structure and functions of these systems, their current use in top domestic hospitals and international healthcare systems, and initial findings on anxiety reduction and enhanced patient satisfaction are analyzed. Some methods were proposed to address the challenges, such as limited evidence, sample representation, and durability assessment. Potential technological advancements, innovations in clinical services, and future interdisciplinary opportunities and policy implications were explored. Intelligent imaging triage systems have the potential to improve the medical workflow efficiency and provide emotional support within patient-centered care. This review concludes that while promising, the widespread adoption of these systems necessitates more robust evidence, interdisciplinary collaboration, and supportive policies.

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