Membership, syndromic and causality graphs to represent the emergency physician’s reasoning

Loïc Etienne, Francis Faux, Olivier Roecker
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Abstract

The reasoning of an emergency doctor is very particular because he often has no prior knowledge (he generally knows nothing about the patient), he has little time to understand the situation, and he must, by means of questioning, quickly make a decision based on diagnostic hypotheses and an estimate of the seriousness of the patient’s condition. In a previous paper we presented the 10 step reasoning model of an emergency physician used by the symptom checker MedVIR. This model is represented by a membership graph which describes the clinical information that helps physicians in their diagnosis by allowing them to ask the essential questions.This paper extends membership graphs to syndromic vision as well as to causality graphs. Syndromic graphs enable the simplification of the memorization of a disease whereas causality graphs make it possible to define the first cause of a disease, the chain of pathological processes, the syndromes which constitute it. These graphs enable the clinician to have a global view of diseases belonging to different and unrelated specialities and they will be able to contribute to the training of doctors and health professionals.
成员关系,症状和因果关系图,以表示急诊医生的推理
急诊医生的推理非常特别,因为他通常没有先验知识(他通常对病人一无所知),他几乎没有时间了解情况,他必须通过询问的方式,根据诊断假设和对病人病情严重程度的估计迅速作出决定。在之前的一篇论文中,我们提出了症状检查器MedVIR使用的急诊医生的10步推理模型。该模型由成员关系图表示,成员关系图描述了临床信息,通过允许医生提出基本问题来帮助他们进行诊断。本文将隶属度图扩展到综合征视觉以及因果图。症候群图可以简化对疾病的记忆,而因果图则可以定义疾病的第一个原因,病理过程链,构成疾病的症候群。这些图表使临床医生能够对属于不同和不相关专业的疾病有一个整体的看法,它们将有助于医生和卫生专业人员的培训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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