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V-Model: a new perspective for EHR-based phenotyping
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Heekyong | - |
dc.contributor.author | Choi, Jinwook | - |
dc.date.accessioned | 2017-02-09T02:26:41Z | - |
dc.date.available | 2017-02-09T02:26:41Z | - |
dc.date.issued | 2014-10-23 | - |
dc.identifier.citation | BMC Medical Informatics and Decision Making, 14(1):90 | ko_KR |
dc.identifier.uri | https://hdl.handle.net/10371/100584 | - |
dc.description | 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. | ko_KR |
dc.description.abstract | Abstract
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.iso | en | ko_KR |
dc.publisher | BioMed Central | ko_KR |
dc.title | V-Model: a new perspective for EHR-based phenotyping | ko_KR |
dc.type | Article | ko_KR |
dc.contributor.AlternativeAuthor | 박희경 | - |
dc.contributor.AlternativeAuthor | 최진욱 | - |
dc.identifier.doi | 10.1186/1472-6947-14-90 | - |
dc.language.rfc3066 | en | - |
dc.rights.holder | Park and Choi; licensee BioMed Central Ltd. | - |
dc.date.updated | 2017-01-06T10:20:17Z | - |
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