Rizkallah Diane, Greenberg Neil L, Khurana Rishabh, Palanisamy Vadivelan, Alencherry Ben, Ammoury Carl, Salam Yezan, Lamovsky Lisa, Fares Haitham, Geschke Robert, Grimm Richard, Nguyen Christopher, Chen David, Kwon Deborah H
Heart, Vascular, and Thoracic Institute, Cleveland Clinic, Cleveland Ohio.
Diagnostic Institute, Cleveland Clinic, Cleveland Ohio.
AMIA Annu Symp Proc. 2025 May 22;2024:950-959. eCollection 2024.
Clinical reporting of cardiac magnetic resonance (CMR) imaging exams is commonly performed with a dictation approach which requires great care to capture both consistent and comprehensive data. We sought to transform the reporting process by utilizing a structured report framework for reporting standardization, by incorporating automated transfer of data semi-automated segmentation tools for efficiency, and rule-based reporting requirements to improve quality and standardization. Interfaces between the applications used to schedule and protocol exams and to analyze the acquired images were created to bring the source information directly into the structured reporting environment. The physicians reporting CMR were surveyed to determine satisfaction and improved efficiency with the new process through self-reported reporting time. Quality improvement was assessed by examining the consistency of reported parameters with the inclusion of rule-based requirements. The designed structured reporting process with automated measurements and rule-based requirements resulted in significant improvement in report efficiency and quality.
心脏磁共振成像（CMR）检查的临床报告通常采用听写方式，这需要格外小心以获取一致且全面的数据。我们试图通过利用结构化报告框架实现报告标准化、纳入半自动分割工具实现数据自动传输以提高效率以及基于规则的报告要求来提高质量和标准化，从而改变报告流程。创建了用于安排检查和制定方案以及分析采集图像的应用程序之间的接口，以便将源信息直接带入结构化报告环境。对报告CMR的医生进行了调查，通过自我报告的报告时间来确定他们对新流程的满意度以及效率的提高情况。通过检查纳入基于规则要求的报告参数的一致性来评估质量改进情况。设计的具有自动测量和基于规则要求的结构化报告流程使报告效率和质量得到了显著提高。
