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Title: Visualizing the Cascade Effect of Redesigning Features in an EMR System
Authors: Helou, Samar
Abou-Khalil, Victoria
Yamamoto, Goshiro  kyouindb  KAKEN_id  orcid (unconfirmed)
Sugiyama, Osamu  kyouindb  KAKEN_id
Kuroda, Tomohiro  kyouindb  KAKEN_id  orcid (unconfirmed)
Author's alias: 山本, 豪志朗
杉山, 治
黒田, 知宏
Keywords: Design
EMR System
Issue Date: 16-Jun-2020
Publisher: NLM (Medline)
Journal title: Studies in health technology and informatics
Volume: 270
Start page: 718
End page: 722
Abstract: Electronic Medical Record (EMR) systems are complex systems with interdependent features. Redesigning one feature of the system can create a cascade effect affecting the other features. By calculating the cascade effect, the designers can understand how each individual feature could be affected. This understanding allows them to maximize the positive effects and avoid negative consequences of their redesign activities. To understand the cascade effect, the designers can look at their computations’ results; a task that becomes more difficult when the number of features grows. To reduce their task load, we propose a tool for visualizing the cascade effect of redesigning features in an EMR system. Our preliminary evaluation with six graduate students shows that visualizing the cascade effect reduces the task load and slightly improves their performance when analyzing the cascade effect. Ways for improving the tool include (i) showing the computation results within the visualization, and (ii) allowing the designers to compare the cascade effect generated by redesigning different features.
Rights: © 2020 European Federation for Medical Informatics (EFMI) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
DOI(Published Version): 10.3233/SHTI200254
PubMed ID: 32570477
Appears in Collections:Journal Articles

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