SEMI-AUTOMATED IDENTIFICATION OF POTENTIAL ADVERSE DRUG EVENTS

被引：0

作者：

Ploessnig, M. ^{[1
]}

Schuler, J.

Hansbauer, B.

Stroka, S. ^{[1
]}

Engel, T.

Hofer-Dueckelmann, C.

Radulescu, M. ^{[1
]}

Adlassnig, K-P

机构：

[1] Salzburg Res Forsch Gesellsch, A-5020 Salzburg, Austria

来源：

EHEALTH2012 - HEALTH INFORMATICS MEETS EHEALTH - VON DER WISSENSCHAFT ZUR ANWENDUNG UND ZURUCK: MOBILE HEALTH & CARE - GESUNDHEITSVORSORGE IMMER UND UBERALL | 2012年

关键词：

medication; adverse drug event; trigger; medical expert system;

D O I：

暂无

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

The amount of drugs used in medical care leads to an increased risks of Adverse Drug Events (ADEs). With the iMedication project we aim at identifying ADEs in hospitals at an early stage, through the use of triggers. The paper presents the classification of such triggers and the distributed knowledge sources supporting trigger checks. The assessment of ADEs and the collaborative reporting process for reviewing suspicious ADEs are described.

引用

页码：51 / 56

页数：6

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