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

George Despotou, Yannis Korkontzelos, Nicholas Matragkas, Eda Bilici, Theodoras N Arvanitis

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)

2 Citations (Scopus)
21 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationNot Known
Pages89-92
Volume251
DOIs
Publication statusE-pub ahead of print - 3 Jun 2018
Event16th International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2018) - Athens, Greece
Duration: 6 Jul 20188 Jul 2018

Conference

Conference16th International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2018)
CountryGreece
CityAthens
Period6/07/188/07/18

Keywords

  • Pharmacovigilance
  • drug safety
  • CDS
  • NLP

Fingerprint Dive into the research topics of 'Structuring Clinical Decision Support rules for drug safety using Natural Language Processing'. Together they form a unique fingerprint.

  • Cite this

    Despotou, G., Korkontzelos, Y., Matragkas, N., Bilici, E., & Arvanitis, T. N. (2018). Structuring Clinical Decision Support rules for drug safety using Natural Language Processing. In Not Known (Vol. 251, pp. 89-92) https://doi.org/10.3233/978-1-61499-880-8-89