Structuring Clinical Decision Support Rules for Drug Safety Using Natural Language Processing

被引：0
|
作者：
Despotou G. [1 ]
Korkontzelos I. [2 ]
Matragkas N. [3 ]
Bilici E. [1 ]
Arvanitis T.N. [1 ]
机构：
[1] Institute of Digital Healthcare, WMG, University of Warwick
[2] Department of Computer Science, Edge Hill University
[3] Department of Computer Science, University of Hull
来源：
Studies in Health Technology and Informatics | 2018年 / 251卷
关键词：
CDS; drug safety; NLP; Pharmacovigilance;
D O I：
10.3233/978-1-61499-880-8-89
中图分类号：
学科分类号：
摘要：
Drug safety is an important aspect in healthcare, resulting in a number of inadvertent events, which may harm the patients. IT based Clinical Decision Support (CDS), integrated in electronic-prescription or Electronic Health Records (EHR) systems, can provide a means for checking prescriptions for errors. This requires expressing prescription guidelines in a way that can be interpreted by IT systems. The paper uses Natural Language Processing (NLP), to interpret drug guidelines by the UK NICE BNF offered in free text. The employed NLP component, MetaMap, identifies the concepts in the instructions and interprets their semantic meaning. The UMLS semantic types that correspond to these concepts are then processed, in order to understand the concepts that are needed to be implemented in software engineering for a CDS engine. © 2018 The authors and IOS Press. All rights reserved.
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页码：89 / 92
页数：3
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