Identification and correction of misspelled drugs' names in electronic medical records (EMR)

Faiza Hussain; Usman Qamar

doi:10.5220/0005911503330338

Identification and correction of misspelled drugs' names in electronic medical records (EMR)

Faiza Hussain
, Usman Qamar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

Medications are an important element of medical records but they usually contain significant data errors. This situation may result from haphazardness or possibly careless storage of valuable information. In either case, this misspelled data can cause serious health problems for the patients and can put their life at a major risk. Thus, the correctness of medication data is an important aspect so that potential harms can be identified and steps can be taken to prevent or mitigate them. In this paper, a novel and practical method is proposed for automated detection and correction of spelling errors in electronic medical record (EMR). To realize this technique, major relevant aspects is taken into consideration with the help of Parts-of-Speech tagging and Regular Expressions. The paper concludes with recommendations and future work for giving a new direction to the emendation of drug nomenclature.

Original language	English
Title of host publication	ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems
Editors	Slimane Hammoudi, Leszek Maciaszek, Leszek Maciaszek, Michele M. Missikoff, Olivier Camp, Jose Cordeiro, Jose Cordeiro
Publisher	SciTePress
Pages	333-338
Number of pages	6
ISBN (Electronic)	9789897581878
DOIs	https://doi.org/10.5220/0005911503330338
State	Published - 2016
Externally published	Yes
Event	18th International Conference on Enterprise Information Systems, ICEIS 2016 - Rome, Italy Duration: 25 Apr 2016 → 28 Apr 2016

Publication series

Name	ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems
Volume	2

Conference

Conference	18th International Conference on Enterprise Information Systems, ICEIS 2016
Country/Territory	Italy
City	Rome
Period	25/04/16 → 28/04/16

Bibliographical note

Publisher Copyright:
Copyright © 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

Keywords

EMR
Electronic medical record
Information retrieval
Natural language processing
POST
Parts-of-Speech tagging
Regular expressions and medical text processing
Spelling correction
Text mining

ASJC Scopus subject areas

Information Systems and Management
Computer Science Applications

Access to Document

10.5220/0005911503330338

Cite this

Hussain, F., & Qamar, U. (2016). Identification and correction of misspelled drugs' names in electronic medical records (EMR). In S. Hammoudi, L. Maciaszek, L. Maciaszek, M. M. Missikoff, O. Camp, J. Cordeiro, & J. Cordeiro (Eds.), ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems (pp. 333-338). (ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems; Vol. 2). SciTePress. https://doi.org/10.5220/0005911503330338

Hussain, Faiza ; Qamar, Usman. / Identification and correction of misspelled drugs' names in electronic medical records (EMR). ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems. editor / Slimane Hammoudi ; Leszek Maciaszek ; Leszek Maciaszek ; Michele M. Missikoff ; Olivier Camp ; Jose Cordeiro ; Jose Cordeiro. SciTePress, 2016. pp. 333-338 (ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems).

@inproceedings{b02411695f424e90b28d083cb03a3bf0,

title = "Identification and correction of misspelled drugs' names in electronic medical records (EMR)",

abstract = "Medications are an important element of medical records but they usually contain significant data errors. This situation may result from haphazardness or possibly careless storage of valuable information. In either case, this misspelled data can cause serious health problems for the patients and can put their life at a major risk. Thus, the correctness of medication data is an important aspect so that potential harms can be identified and steps can be taken to prevent or mitigate them. In this paper, a novel and practical method is proposed for automated detection and correction of spelling errors in electronic medical record (EMR). To realize this technique, major relevant aspects is taken into consideration with the help of Parts-of-Speech tagging and Regular Expressions. The paper concludes with recommendations and future work for giving a new direction to the emendation of drug nomenclature.",

keywords = "EMR, Electronic medical record, Information retrieval, Natural language processing, POST, Parts-of-Speech tagging, Regular expressions and medical text processing, Spelling correction, Text mining",

author = "Faiza Hussain and Usman Qamar",

note = "Publisher Copyright: Copyright {\textcopyright} 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.; 18th International Conference on Enterprise Information Systems, ICEIS 2016 ; Conference date: 25-04-2016 Through 28-04-2016",

year = "2016",

doi = "10.5220/0005911503330338",

language = "English",

series = "ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems",

publisher = "SciTePress",

pages = "333--338",

editor = "Slimane Hammoudi and Leszek Maciaszek and Leszek Maciaszek and Missikoff, \{Michele M.\} and Olivier Camp and Jose Cordeiro and Jose Cordeiro",

booktitle = "ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems",

}

Hussain, F & Qamar, U 2016, Identification and correction of misspelled drugs' names in electronic medical records (EMR). in S Hammoudi, L Maciaszek, L Maciaszek, MM Missikoff, O Camp, J Cordeiro & J Cordeiro (eds), ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems. ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems, vol. 2, SciTePress, pp. 333-338, 18th International Conference on Enterprise Information Systems, ICEIS 2016, Rome, Italy, 25/04/16. https://doi.org/10.5220/0005911503330338

Identification and correction of misspelled drugs' names in electronic medical records (EMR). / Hussain, Faiza; Qamar, Usman.
ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems. ed. / Slimane Hammoudi; Leszek Maciaszek; Leszek Maciaszek; Michele M. Missikoff; Olivier Camp; Jose Cordeiro; Jose Cordeiro. SciTePress, 2016. p. 333-338 (ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hussain, Faiza

AU - Qamar, Usman

PY - 2016

Y1 - 2016

N2 - Medications are an important element of medical records but they usually contain significant data errors. This situation may result from haphazardness or possibly careless storage of valuable information. In either case, this misspelled data can cause serious health problems for the patients and can put their life at a major risk. Thus, the correctness of medication data is an important aspect so that potential harms can be identified and steps can be taken to prevent or mitigate them. In this paper, a novel and practical method is proposed for automated detection and correction of spelling errors in electronic medical record (EMR). To realize this technique, major relevant aspects is taken into consideration with the help of Parts-of-Speech tagging and Regular Expressions. The paper concludes with recommendations and future work for giving a new direction to the emendation of drug nomenclature.

AB - Medications are an important element of medical records but they usually contain significant data errors. This situation may result from haphazardness or possibly careless storage of valuable information. In either case, this misspelled data can cause serious health problems for the patients and can put their life at a major risk. Thus, the correctness of medication data is an important aspect so that potential harms can be identified and steps can be taken to prevent or mitigate them. In this paper, a novel and practical method is proposed for automated detection and correction of spelling errors in electronic medical record (EMR). To realize this technique, major relevant aspects is taken into consideration with the help of Parts-of-Speech tagging and Regular Expressions. The paper concludes with recommendations and future work for giving a new direction to the emendation of drug nomenclature.

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KW - Natural language processing

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KW - Regular expressions and medical text processing

KW - Spelling correction

KW - Text mining

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M3 - Conference contribution

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T3 - ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems

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BT - ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems

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A2 - Maciaszek, Leszek

A2 - Missikoff, Michele M.

A2 - Camp, Olivier

A2 - Cordeiro, Jose

PB - SciTePress

T2 - 18th International Conference on Enterprise Information Systems, ICEIS 2016

Y2 - 25 April 2016 through 28 April 2016

ER -

Hussain F, Qamar U. Identification and correction of misspelled drugs' names in electronic medical records (EMR). In Hammoudi S, Maciaszek L, Maciaszek L, Missikoff MM, Camp O, Cordeiro J, Cordeiro J, editors, ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems. SciTePress. 2016. p. 333-338. (ICEIS 2016 - Proceedings of the 18th International Conference on Enterprise Information Systems). doi: 10.5220/0005911503330338

Identification and correction of misspelled drugs' names in electronic medical records (EMR)

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this