Structuring Clinical Decision Support rules for drug safety using Natural Language Processing

Despotou, George, Korkontzelos, Yannis, Matragkas, Nicholas, Bilici, Eda and Arvanitis, Theodoras N (2018) Structuring Clinical Decision Support rules for drug safety using Natural Language Processing. 16th International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2018), 06/07/2018-08/07/2018, Athens, Greece, 251, pp. 89-92, ISBN 978-1-61499-879-2, ISSN 0926-9630, DOI https://doi.org/10.3233/978-1-61499-880-8-89.

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Abstract

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.

Item Type: Conference or Workshop Item (Proceedings)
Uncontrolled Keywords: Pharmacovigilance, drug safety, CDS, NLP
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > R Medicine (General)
T Technology > T Technology (General)
Divisions: Computing and Information Systems
Date Deposited: 01 Aug 2018 15:37
URI: http://repository.edgehill.ac.uk/id/eprint/10527

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