MODELING DIAGNOSTIC VALUE OF IMAGE MANAGEMENT SYSTEMS

本项目将开发和研究一个模型， 图像存储和通信系统（PACS）的诊断价值。 该模型将成像检查分为诊断类别， 临床适应症的基础，并为每个类别计算 诊断价值指数，即基于准确性和 及时临床访问诊断图像信息。 一 混合分配技术将作为替代研究， 受试者工作特征（ROC）分析 诊断准确性。 诊断价值指数将与 采取临床行动所需的时间。 支持该模型的数据将前瞻性地从三个 临床地点：内科重症监护室、外科重症监护室 单位和急诊科。 每个站点都有不同的 特征，并将测试诊断价值的稳健性 模型 在每个研究中心，PACS将在 旨在提高PACS有效性的干预措施。

This project will develop and study a model for the measurement of the diagnostic value of a Picture Archiving and Communication System (PACS). The model groups imaging examinations into diagnostic categories on the basis of clinical indications and for each category computes a diagnostic value index, that is based upon the accuracy and the timeliness of clinical access to the diagnostic image information. A mixture distribution technique will be studied as an alternative to the receiver operating characteristic (ROC) analysis for estimating diagnostic accuracy. The diagnostic value index will be related to the time required to take a clinical action. Data to support the model will be collected prospectively from three clinical sites: a medical intensive care unit, a surgical intensive care unit and an emergency department. Each site has different characteristics and will test the robustness of the diagnostic value model. At each site the PACS will be compared before and after an intervention designed to improve the effectiveness of the PACS.