Suppr超能文献

专家探索器:一种用于医院数据可视化和药物不良事件规则验证的工具。

The expert explorer: a tool for hospital data visualization and adverse drug event rules validation.

作者信息

Băceanu Adrian, Atasiei Ionuţ, Chazard Emmanuel, Leroy Nicolas

机构信息

Ideea Advertising, Bucharest, Romania.

出版信息

Stud Health Technol Inform. 2009;148:85-94.

Abstract

An important part of adverse drug events (ADEs) detection is the validation of the clinical cases and the assessment of the decision rules to detect ADEs. For that purpose, a software called "Expert Explorer" has been designed by Ideea Advertising. Anonymized datasets have been extracted from hospitals into a common repository. The tool has 3 main features. (1) It can display hospital stays in a visual and comprehensive way (diagnoses, drugs, lab results, etc.) using tables and pretty charts. (2) It allows designing and executing dashboards in order to generate knowledge about ADEs. (3) It finally allows uploading decision rules obtained from data mining. Experts can then review the rules, the hospital stays that match the rules, and finally give their advice thanks to specialized forms. Then the rules can be validated, invalidated, or improved (knowledge elicitation phase).

摘要

药物不良事件(ADEs)检测的一个重要部分是对临床病例的验证以及对检测ADEs的决策规则的评估。为此,Ideea Advertising设计了一款名为“专家浏览器”的软件。已将匿名数据集从医院提取到一个公共存储库中。该工具具有3个主要功能。(1)它可以使用表格和精美图表以直观且全面的方式显示住院情况(诊断、药物、实验室结果等)。(2)它允许设计和执行仪表板以生成有关ADEs的知识。(3)它最终允许上传从数据挖掘中获得的决策规则。然后专家可以审查这些规则、与规则匹配的住院情况,并最终通过专门的表格给出他们的建议。然后可以对规则进行验证、无效化或改进(知识引出阶段)。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验