Optimization of Radiology Diagnostic Services for Patients with Stroke in Multidisciplinary Hospitals

Abstract

Background: Effective radiology diagnostic services are crucial for the timely and precise diagnosis and treatment of stroke, a medical emergency, in multidisciplinary hospitals. However, the efficiency of these services might be impeded by various logistical and operational challenges present in a multidisciplinary hospital setup. Objective: This review endeavours to explore the ways for optimizing stroke management in multi-disciplinary hospitals, delving into its benefits, current challenges, and future prospects. Methods: Electronic databases, namely PubMed, Scopus, and Web of Science, were utilized for this review. Studies that focus on the organizational and functional aspects of radiology diagnostic services in multidisciplinary hospitals for stroke patients were analysed. Results: This review delves into a variety of strategies that could be harnessed to enhance radiology diagnostic services, thereby better-serving stroke patients in multidisciplinary hospital settings. It sheds light on the current hurdles in the optimization of stroke management, discussing them in detail. This article also explores the application and significance of Process Mapping in streamlining workflow for stroke management in hospitals, providing insights into its benefits, challenges, and future implications. Furthermore, the potential of Artificial Intelligence (AI) and Machine Learning (ML) in refining stroke management processes is also analysed and discussed. Conclusion: The quest for optimizing the organization of radiology diagnostic services in multidisciplinary hospitals unveils a multi-pronged pathway. It beckons a harmonious blend of technological innovation, operational finesse, and multidisciplinary camaraderie. stepwise implementation of the identified optimization strategies, coupled with a continual assessment of their impact on patient care and operational efficiency, is recommended.

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