Rafferty T, Edwards B, Judd J, Swamy V, Workman R, Lippmann H, Harris S, Cohen I, Prokop E, Ezekowitz M
Department of Anesthesiology, Yale University School of Medicine, New Haven, Connecticut.
Clin Cardiol. 1993 Oct;16(10):745-52. doi: 10.1002/clc.4960161012.
This report describes the development of a quality assurance-oriented integrated software system designed for an anesthesiology-based intraoperative transesophageal echocardiography service. Entry data include patient and operation demographics, two-dimensional echocardiographic, saline-contrast, and color flow/pulsed Doppler assessments of the heart and great vessels, presented in a defined sequence. A statistical analysis component (kappa coefficient analysis) allows for comparison of intraoperative real-time interpretations with laboratory interpretations made by experienced full-time echocardiographers on a field-by-field basis. This provides a means of quantifying expertise in each individual aspect of the patient examination sequence. We believe that such self-appraisal data are essential for delineating the status and tracking the progress of service being provided.
本报告描述了一个以质量保证为导向的集成软件系统的开发,该系统是为基于麻醉的术中经食管超声心动图服务而设计的。输入数据包括患者和手术的人口统计学信息、心脏和大血管的二维超声心动图、盐水造影以及彩色血流/脉冲多普勒评估,并按规定顺序呈现。一个统计分析组件(kappa系数分析)允许在逐字段的基础上,将术中实时解读与经验丰富的全职超声心动图专家进行的实验室解读进行比较。这提供了一种量化患者检查序列各个方面专业水平的方法。我们认为,此类自我评估数据对于描绘所提供服务的现状和跟踪其进展至关重要。