Identification and Correction of Misspelled Drugs’ Names in Electronic Medical Records (EMR)

Faiza Hussain, Usman Qamar

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.

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Paper Citation


in Harvard Style

Hussain F. and Qamar U. (2016). Identification and Correction of Misspelled Drugs’ Names in Electronic Medical Records (EMR) . In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-187-8, pages 333-338. DOI: 10.5220/0005911503330338


in Bibtex Style

@conference{iceis16,
author={Faiza Hussain and Usman Qamar},
title={Identification and Correction of Misspelled Drugs’ Names in Electronic Medical Records (EMR)},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2016},
pages={333-338},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005911503330338},
isbn={978-989-758-187-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Identification and Correction of Misspelled Drugs’ Names in Electronic Medical Records (EMR)
SN - 978-989-758-187-8
AU - Hussain F.
AU - Qamar U.
PY - 2016
SP - 333
EP - 338
DO - 10.5220/0005911503330338