The Closest Incomplete Medical Information Systems

Katarzyna Ignatiuk, A. Dardzinska
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引用次数: 2

Abstract

One of the main problem of medical information systems are incompleteness that may be caused by unreliable supplemented patient documentation, loss of part of documentation or errors during transferring information from paper to electronic documentation. Information gaps can be replaced by values suggested by statistical or rule-based methods or with the help of other information systems working in the same ontology. Each system may have a different set of rules but referring to objects described by the same set of attributes. Medical information systems communicate each other to find an answer: “How treatment to take for patient described by given set of attributes?” or “What value should have the missing attribute so that the patient can be moved from one to another decision class?” Sometimes, the responses from different systems may be supported by insufficient number of rules or rules can be in conflict. Therefore, it is important to properly assess which systems should collaborate each other to answer the query asked to the incomplete system. This work will present a method of assessing collaboration between systems.
最近的不完整医疗信息系统
医疗信息系统的主要问题之一是不完整,这可能由不可靠的补充病人文件、部分文件的丢失或在将信息从纸质文件转移到电子文件时出现错误引起。信息差距可以由统计或基于规则的方法建议的值或在同一本体中工作的其他信息系统的帮助下取代。每个系统可能有一组不同的规则,但引用由同一组属性描述的对象。医疗信息系统之间相互沟通,以找到一个答案:“根据给定的一组属性,如何对患者进行治疗?”或“什么值应该具有缺失的属性,以便将患者从一个决策类移动到另一个决策类?”有时,来自不同系统的响应可能由数量不足的规则支持,或者规则可能存在冲突。因此,正确评估哪些系统应该相互协作以回答向不完整系统提出的查询是很重要的。这项工作将提出一种评估系统之间协作的方法。
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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