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Algorithms, Clinical Practice Guidelines, and Standardized Clinical Assessment and Management Plans: Evidence-Based Patient Management Standards in Evolution

机译:算法,临床实践指南以及标准化的临床评估和管理计划:基于证据的患者管理标准不断演进

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摘要

In this issue, Farias and colleagues describe how to develop a clinical care pathway by using a structured, continuous learning process embedded within the day-to-day delivery of care. Their method is called Standardized Clinical Assessment and Management Plans (SCAMPs). A care pathway, such as a SCAMP, includes multiple decision points and related recommendations. The SCAMP process can test the validity of each decision point if clinicians document patient data and record their reasoning when they deviate from the recommended action at a decision point. The unique feature of SCAMPs is that they encourage dissent, unlike clinical practice guidelines (CPGs), algorithms, and bundled electronic health record protocols, which are designed to be followed. If a clinician deviates from the recommended action at a decision point, an explanation is required. This feedback, which should explain why a patient does not precisely "fit" the logic of the care pathway, may lead the SCAMP developers to modify the decision point.
机译:在本期杂志中,Farias及其同事描述了如何通过使用嵌入日常护理中的结构化,持续学习过程来开发临床护理途径。他们的方法称为标准化临床评估和管理计划(SCAMP)。护理路径(例如SCAMP)包括多个决策点和相关建议。如果临床医生记录患者数据并记录他们在决策点偏离建议措施的理由,则SCAMP流程可以测试每个决策点的有效性。 SCAMP的独特之处在于,它们鼓励异议,这与临床实践指南(CPG),算法和捆绑的电子健康记录协议不同,后者是要遵循的。如果临床医生在决策点偏离了建议的措施,则需要进行解释。此反馈应解释为什么患者不能精确地“适应”护理途径的逻辑,可能导致SCAMP开发人员修改决策点。

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