An epilepsy information system to support routine and research

Paul Griep , Nico van den Berg , Jan Doelman , Rob Starrenburg
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引用次数: 2

Abstract

An epilepsy information system is described that supports routine patient care, research, and medical management. The patient's clinical data is ordered in time by the date of the patient contact when the data was collected. The clinical data is also classified into six categories. An unrestricted text group has text subjects in each of these groups as well as in a general free text area. The system is integrated with other information subsystems (e.g. patient registration, clinical chemistry laboratory, EEG department and pharmacy) as well as with the routinely used text processor. Data inquiries for research and medical management purposes are programmed in a Structured Query Language (SQL). The data needed to answer these queries are taken from the data collected in daily routine. The integration of the system is very useful because data only have to be entered once and can be used when and where needed. Patient data stored in this system is more accessible in general as well as more usable for research purposes compared with the patient data previously stored only on paper

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一个癫痫信息系统,以支持日常和研究
描述了一个癫痫信息系统,支持日常患者护理,研究和医疗管理。患者的临床数据按收集数据时与患者接触的日期及时排序。临床资料也分为六类。不受限制的文本组在这些组和一般的自由文本区域中都有文本主题。该系统与其他信息子系统(如患者登记、临床化学实验室、脑电图科和药房)以及常规使用的文本处理器集成。用于研究和医疗管理目的的数据查询使用结构化查询语言(SQL)编程。回答这些问题所需的数据取自日常工作中收集的数据。系统的集成是非常有用的,因为数据只需要输入一次,可以在需要的时候和地方使用。与以前仅存储在纸上的患者数据相比,存储在该系统中的患者数据通常更易于访问,也更易于用于研究目的
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A Method for Diagnosing in Large Medical Expert Systems Based on Causal Probabilistic Networks Subject index Volume contents Editorial Author index
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