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在基层医疗的慢性病管理指南中运用案例。

Using scenarios in chronic disease management guidelines for primary care.

作者信息

Johnson P D, Tu S, Booth N, Sugden B, Purves I N

机构信息

Sowerby Centre for Health Informatics, University of Newcastle upon Tyne, Newcastle Upon Tyne, UK.

出版信息

Proc AMIA Symp. 2000:389-93.

PMID:11079911
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2244127/
Abstract

The Prodigy system is a guideline-based decision-support system designed to assist general practitioners in England choose the appropriate therapeutic action for their patients. As part of the system, we developed a novel model for encoding clinical guidelines for managing patients with chronic diseases such as asthma and hypertension. The model structures a guideline as a set of choices to be made by the clinician. It models patient scenarios which drive decision making and are used to synchronize the management of a patient with guideline recommendations. The model is robust with respect to available input data and leaves the control of decision-making to the clinician. We have built execution engines to verify the computability of the model. We intend to test the model integrated in up to 200 live systems from at least four system vendors in English General practice.

摘要

神童系统是一个基于指南的决策支持系统,旨在帮助英国的全科医生为患者选择合适的治疗措施。作为该系统的一部分,我们开发了一种新颖的模型,用于对哮喘和高血压等慢性病患者的临床指南进行编码。该模型将指南构建为临床医生要做出的一组选择。它对驱动决策的患者场景进行建模,并用于使患者管理与指南建议同步。该模型在可用输入数据方面具有稳健性,并将决策控制权留给临床医生。我们已经构建了执行引擎来验证模型的可计算性。我们打算在英国全科医疗中测试集成到至少四个系统供应商的多达200个实时系统中的该模型。

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Proc AMIA Symp. 2000:389-93.
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本文引用的文献

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