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V-Model: a new perspective for EHR-based phenotyping

BACKGROUND: Narrative resources in electronic health records make clinical phenotyping study difficult to achieve. If a narrative patient history can be represented in a timeline, this would greatly enhance the efficiency of information-based studies. However, current timeline representations have l...

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Detalles Bibliográficos
Autores principales: Park, Heekyong, Choi, Jinwook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4283133/
https://www.ncbi.nlm.nih.gov/pubmed/25341558
http://dx.doi.org/10.1186/1472-6947-14-90
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author Park, Heekyong
Choi, Jinwook
author_facet Park, Heekyong
Choi, Jinwook
author_sort Park, Heekyong
collection PubMed
description BACKGROUND: Narrative resources in electronic health records make clinical phenotyping study difficult to achieve. If a narrative patient history can be represented in a timeline, this would greatly enhance the efficiency of information-based studies. However, current timeline representations have limitations in visualizing narrative events. In this paper, we propose a temporal model named the ‘V-Model’ which visualizes clinical narratives into a timeline. METHODS: We developed the V-Model which models temporal clinical events in v-like graphical structure. It visualizes patient history on a timeline in an intuitive way. For the design, the representation, reasoning, and visualization (readability) aspects were considered. Furthermore, the unique graphical notation helps to find hidden patterns of a specific patient group. For evaluation, we verified our distinctive solutions, and surveyed usability. The experiments were carried out between the V-Model and a conventional timeline model group. Eighty medical students and physicians participated in this evaluation. RESULTS: The V-Model was proven to be superior in representing narrative medical events, provide sufficient information for temporal reasoning, and outperform in readability compared to a conventional timeline model. The usability of the V-Model was assessed as positive. CONCLUSIONS: The V-Model successfully resolves visualization issues of clinical documents, and provides better usability compared to a conventional timeline model. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1472-6947-14-90) contains supplementary material, which is available to authorized users.
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spelling pubmed-42831332015-01-06 V-Model: a new perspective for EHR-based phenotyping Park, Heekyong Choi, Jinwook BMC Med Inform Decis Mak Research Article BACKGROUND: Narrative resources in electronic health records make clinical phenotyping study difficult to achieve. If a narrative patient history can be represented in a timeline, this would greatly enhance the efficiency of information-based studies. However, current timeline representations have limitations in visualizing narrative events. In this paper, we propose a temporal model named the ‘V-Model’ which visualizes clinical narratives into a timeline. METHODS: We developed the V-Model which models temporal clinical events in v-like graphical structure. It visualizes patient history on a timeline in an intuitive way. For the design, the representation, reasoning, and visualization (readability) aspects were considered. Furthermore, the unique graphical notation helps to find hidden patterns of a specific patient group. For evaluation, we verified our distinctive solutions, and surveyed usability. The experiments were carried out between the V-Model and a conventional timeline model group. Eighty medical students and physicians participated in this evaluation. RESULTS: The V-Model was proven to be superior in representing narrative medical events, provide sufficient information for temporal reasoning, and outperform in readability compared to a conventional timeline model. The usability of the V-Model was assessed as positive. CONCLUSIONS: The V-Model successfully resolves visualization issues of clinical documents, and provides better usability compared to a conventional timeline model. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1472-6947-14-90) contains supplementary material, which is available to authorized users. BioMed Central 2014-10-23 /pmc/articles/PMC4283133/ /pubmed/25341558 http://dx.doi.org/10.1186/1472-6947-14-90 Text en © Park and Choi; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Park, Heekyong
Choi, Jinwook
V-Model: a new perspective for EHR-based phenotyping
title V-Model: a new perspective for EHR-based phenotyping
title_full V-Model: a new perspective for EHR-based phenotyping
title_fullStr V-Model: a new perspective for EHR-based phenotyping
title_full_unstemmed V-Model: a new perspective for EHR-based phenotyping
title_short V-Model: a new perspective for EHR-based phenotyping
title_sort v-model: a new perspective for ehr-based phenotyping
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4283133/
https://www.ncbi.nlm.nih.gov/pubmed/25341558
http://dx.doi.org/10.1186/1472-6947-14-90
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