Semantic AutoSuggest for Electronic Health Records

被引：1

作者：

Beez, Ulrich ^{[1
]}

Humm, Bernhard G. ^{[1
]}

Walsh, Paul ^{[2
]}

机构：

[1] Univ Appl Sci, Hsch Darmstadt, Darmstadt, Germany

[2] NSilico Lifesci Ltd, Bishopstown, Co Cork, Ireland

来源：

2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI) | 2015年

关键词：

Electronic Health Record (EHR); Semantic AutoSuggest; Medical Ontologies; Semantic Ontology Integration;

D O I：

10.1109/CSCI.2015.85

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In traditional Electronic Health Record (EHR) applications, medical information is provided in free text fields resulting in ambiguities in the use of medical vocabulary. This paper presents a semantic AutoSuggest service that supports consultants entering free-text medical information while at the same time normalizing the medical vocabulary used. For this, several medical ontologies are semantically integrated. Particular focus is on usability, optimizing the relevance of suggested terms as well as supporting diversity.

引用

页码：760 / 765

页数：6

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