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

DC Field Value Language
dc.contributor.authorPark, Heekyong-
dc.contributor.authorChoi, Jinwook-
dc.date.accessioned2017-02-09T02:26:41Z-
dc.date.available2017-02-09T02:26:41Z-
dc.date.issued2014-10-23-
dc.identifier.citationBMC Medical Informatics and Decision Making, 14(1):90ko_KR
dc.identifier.urihttp://hdl.handle.net/10371/100584-
dc.descriptionThis 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.
ko_KR
dc.description.abstractAbstract

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.
ko_KR
dc.language.isoenko_KR
dc.publisherBioMed Centralko_KR
dc.titleV-Model: a new perspective for EHR-based phenotypingko_KR
dc.typeArticleko_KR
dc.contributor.AlternativeAuthor박희경-
dc.contributor.AlternativeAuthor최진욱-
dc.identifier.doi10.1186/1472-6947-14-90-
dc.language.rfc3066en-
dc.rights.holderPark and Choi; licensee BioMed Central Ltd.-
dc.date.updated2017-01-06T10:20:17Z-
Appears in Collections:
College of Medicine/School of Medicine (의과대학/대학원)Biomedical Engineering (의공학전공)Journal Papers (저널논문_의공학전공)
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