A Semantic Multi-Field Clinical Search for Patient Medical Records

A semantic-based search engine for clinical data would be a substantial aid for hospitals to provide support for clinical practitioners. Since electronic medical records of patients contain a variety of information, there is a need to extract meaningful patterns from the Patient Medical Records (PMR...

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Main Authors: Umamaheswari Vasanthakumar, E., Bond, Francis
Other Authors: School of Humanities and Social Sciences
Format: Article
Language:English
Published: 2018
Subjects:
Online Access:https://hdl.handle.net/10356/88458
http://hdl.handle.net/10220/44637
http://www.cit.iit.bas.bg/CIT_2018/v-18-1/14_paper.pdf
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-884582019-12-06T17:03:46Z A Semantic Multi-Field Clinical Search for Patient Medical Records Umamaheswari Vasanthakumar, E. Bond, Francis School of Humanities and Social Sciences Semantic Similarity Application to NLP A semantic-based search engine for clinical data would be a substantial aid for hospitals to provide support for clinical practitioners. Since electronic medical records of patients contain a variety of information, there is a need to extract meaningful patterns from the Patient Medical Records (PMR). The proposed work matches patients to relevant clinical practice guidelines (CPGs) by matching their medical records with the CPGs. However in both PMR and CPG, the information pertaining to symptoms, diseases, diagnosis procedures and medicines is not structured and there is a need to pre-process and index the information in a meaningful way. In order to reduce manual effort to match to the clinical guidelines, this work automatically extracts the clinical guidelines from the PDF documents using a set of regular expression rules and indexes them with a multi-field index using Lucene. We have attempted a multi-field Lucene search and ontology-based advanced search, where the PMR is mapped to SNOMED core subset to find the important concepts. We found that the ontology-based search engine gave more meaningful results for specific queries when compared to term based search. Published version 2018-04-04T03:02:39Z 2019-12-06T17:03:46Z 2018-04-04T03:02:39Z 2019-12-06T17:03:46Z 2018 2018 Journal Article Umamaheswari Vasanthakumar, E., & Bond, F. (2018). A Semantic Multi-Field Clinical Search for Patient Medical Records. Cybernetics and Information Technologies, 18(1), 171-182. 1311-9702 https://hdl.handle.net/10356/88458 http://hdl.handle.net/10220/44637 http://www.cit.iit.bas.bg/CIT_2018/v-18-1/14_paper.pdf 204339 en Cybernetics and Information Technologies © 2018 The author(s). This paper was published in Cybernetics and Information Technologies and is made available as an electronic reprint (preprint) with permission of Institute of Information and Communication Technologies. The published version is available at: [http://www.cit.iit.bas.bg/CIT_2018/v-18-1/14_paper.pdf]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 12 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Semantic Similarity
Application to NLP
spellingShingle Semantic Similarity
Application to NLP
Umamaheswari Vasanthakumar, E.
Bond, Francis
A Semantic Multi-Field Clinical Search for Patient Medical Records
description A semantic-based search engine for clinical data would be a substantial aid for hospitals to provide support for clinical practitioners. Since electronic medical records of patients contain a variety of information, there is a need to extract meaningful patterns from the Patient Medical Records (PMR). The proposed work matches patients to relevant clinical practice guidelines (CPGs) by matching their medical records with the CPGs. However in both PMR and CPG, the information pertaining to symptoms, diseases, diagnosis procedures and medicines is not structured and there is a need to pre-process and index the information in a meaningful way. In order to reduce manual effort to match to the clinical guidelines, this work automatically extracts the clinical guidelines from the PDF documents using a set of regular expression rules and indexes them with a multi-field index using Lucene. We have attempted a multi-field Lucene search and ontology-based advanced search, where the PMR is mapped to SNOMED core subset to find the important concepts. We found that the ontology-based search engine gave more meaningful results for specific queries when compared to term based search.
author2 School of Humanities and Social Sciences
author_facet School of Humanities and Social Sciences
Umamaheswari Vasanthakumar, E.
Bond, Francis
format Article
author Umamaheswari Vasanthakumar, E.
Bond, Francis
author_sort Umamaheswari Vasanthakumar, E.
title A Semantic Multi-Field Clinical Search for Patient Medical Records
title_short A Semantic Multi-Field Clinical Search for Patient Medical Records
title_full A Semantic Multi-Field Clinical Search for Patient Medical Records
title_fullStr A Semantic Multi-Field Clinical Search for Patient Medical Records
title_full_unstemmed A Semantic Multi-Field Clinical Search for Patient Medical Records
title_sort semantic multi-field clinical search for patient medical records
publishDate 2018
url https://hdl.handle.net/10356/88458
http://hdl.handle.net/10220/44637
http://www.cit.iit.bas.bg/CIT_2018/v-18-1/14_paper.pdf
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