Borst F, Scherrer J R
Centre d'informatique hospitalière, Hôpital cantonal universitaire, Genève.
Schweiz Med Wochenschr. 1990 Dec 8;120(49):1871-6.
Every medical case record represents a mass of data (texts, pictures, figures, etc.) in an unstructured form. The physician needs to retrieve this data via several access routes: temporal (dependent on date or sequences of events), type of data (diagnostic, treatment, clinical signs, laboratory findings, image descriptors, all with their interrelationships), or depending on the severity of the disease, etc. Retrieval of this data fulfils several functions: circulation of a case record among specialists, assistance in summarizing a long and complex clinical course, comparison of patients, research, and teaching. Three projects are described which have the same aim: structuring of the case record in order to retrieve detailed data on patients as individuals and describe clinical courses on the basis of measurable observations. This structure must be understandable to a computer (directly or indirectly) so that searches and comparisons can be performed automatically. The first project, entitled "indexed paragraph prototype" reproduces the structure of the problem-oriented case record and is designed to input the Medical Outpatients Department's follow-up notes into the computer. The second, "automatic language analysis", aims to exploit two characteristics of medical language, its omnipresence in the case record and its reliability, in view of its status as the spontaneous vehicle of communication between physicians. The third, "collection of clinical signs during consultation", is based on a prospective collection of all elements of clinical observation, structured temporally consultation by consultation. The purpose of precise collection of detailed and measurable observations in individual patients is to identify those among the clinical signs which display the greatest power of discrimination, i.e. those which best serve to predict the case's evolution.
每份医疗病例记录都以非结构化形式呈现大量数据(文本、图片、图表等)。医生需要通过多种途径检索这些数据:时间维度(取决于日期或事件顺序)、数据类型(诊断、治疗、临床体征、实验室检查结果、图像描述符,以及它们之间的相互关系),或者取决于疾病的严重程度等。检索这些数据具有多种功能:病例记录在专家之间的流通、辅助总结漫长而复杂的临床病程、患者之间的比较、研究以及教学。本文描述了三个具有相同目标的项目:构建病例记录结构,以便检索患者个体的详细数据,并基于可测量的观察结果描述临床病程。这种结构必须能被计算机理解(直接或间接),以便自动进行搜索和比较。第一个项目名为“索引段落原型”,它再现了面向问题的病例记录结构,旨在将门诊部的随访记录输入计算机。第二个项目“自动语言分析”,鉴于医学语言在病例记录中无处不在且可靠,它作为医生之间自发交流工具的地位,旨在利用医学语言的这两个特点。第三个项目“会诊期间临床体征收集”,基于对临床观察所有要素的前瞻性收集,按会诊时间顺序进行结构化整理。在个体患者中精确收集详细且可测量的观察结果的目的,是识别那些具有最强鉴别力的临床体征,即那些最能预测病例发展的体征。