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

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

doi:10.3233/978-1-61499-880-8-89

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

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

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review

3 Citations (Scopus)

91 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 language	English
Title of host publication	Not Known
Pages	89-92
Volume	251
DOIs	https://doi.org/10.3233/978-1-61499-880-8-89
Publication status	E-pub ahead of print - 3 Jun 2018
Event	16th International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2018) - Athens, Greece Duration: 6 Jul 2018 → 8 Jul 2018

Conference

Conference	16th International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2018)
Country/Territory	Greece
City	Athens
Period	6/07/18 → 8/07/18

Keywords

Pharmacovigilance
drug safety
CDS
NLP

Access to Document

10.3233/978-1-61499-880-8-89

DrugCDSRulesNLP.4.1.CR.pdfAccepted author manuscript, 629 KBLicence: CC BY-NC-ND

http://ebooks.iospress.nl/volumearticle/49440

Cite this

@inproceedings{39b0089723084eef96fc3cae8e0b226b,

title = "Structuring Clinical Decision Support rules for drug safety using Natural Language Processing",

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.",

keywords = "Pharmacovigilance, drug safety, CDS, NLP",

author = "George Despotou and Yannis Korkontzelos and Nicholas Matragkas and Eda Bilici and Arvanitis, {Theodoras N}",

year = "2018",

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day = "3",

doi = "10.3233/978-1-61499-880-8-89",

language = "English",

isbn = "978-1-61499-879-2",

volume = "251",

pages = "89--92",

booktitle = "Not Known",

note = "16th International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2018) ; Conference date: 06-07-2018 Through 08-07-2018",

}

Despotou, G, Korkontzelos, Y, Matragkas, N, Bilici, E & Arvanitis, TN 2018, Structuring Clinical Decision Support rules for drug safety using Natural Language Processing. in Not Known. vol. 251, pp. 89-92, 16th International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2018), Athens, Greece, 6/07/18. https://doi.org/10.3233/978-1-61499-880-8-89

TY - GEN

T1 - Structuring Clinical Decision Support rules for drug safety using Natural Language Processing

AU - Despotou, George

AU - Korkontzelos, Yannis

AU - Matragkas, Nicholas

AU - Bilici, Eda

AU - Arvanitis, Theodoras N

PY - 2018/6/3

Y1 - 2018/6/3

N2 - 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.

AB - 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.

KW - Pharmacovigilance

KW - drug safety

KW - CDS

KW - NLP

U2 - 10.3233/978-1-61499-880-8-89

DO - 10.3233/978-1-61499-880-8-89

M3 - Conference proceeding (ISBN)

SN - 978-1-61499-879-2

VL - 251

SP - 89

EP - 92

BT - Not Known

T2 - 16th International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2018)

Y2 - 6 July 2018 through 8 July 2018

ER -

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

Abstract

Conference

Keywords

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Cite this