将患者用药数据与实验室信息系统相连接

J.J. Forsström , P. Grönroos , K. Irjala , J. Heiskanen , K. Torniainen
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引用次数: 11

摘要

每年都有几十种新药投入临床使用。即使临床医生能够了解他们开出的药物最重要的治疗效果,他们仍然无法记住所有次要的效果。在将与患者有关的药物数据存储在计算机化的患者记录中之后,就可以建立决策支持模块,自动提醒实验室测试中可能存在的药物影响,并发出警报或药物相互作用警报。使用解剖治疗化学代码(atc代码)编码的药物档案构成了电子病历(EPR)的重要组成部分。在本文中,我们描述了我们的系统的好处。通过建立与市售药物和实验室数据库的链接,我们可以自动告知临床医生与临床相关的药物对实验室测试结果的影响
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Linking patient medication data with laboratory information system

Dozens of new drugs are taken into clinical use each year. Even if the clinicians were able to learn the most important therapeutic effects of the drugs they prescribe, they would still be unable to remember all of their minor effects. After storing patient related medication data on computerized patient records it is possible to build decision support modules which automatically remind of possible drug influences on laboratory tests and cause alarms or alerts of drug interactions. Medication profiles coded using the Anatomical Therapeutic Chemical-code (ATC-code) constitutes a valuable part of an Electronic Patient Record (EPR). In this paper, we describe the benefits of our system. By building links to commercially available drug and laboratory databases we can automatically inform clinicians on clinically relevant drug influences on laboratory test results

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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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