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Clinical support system using information aggregation and visualization for order data

Health care information systems developed by applying advancements in computer and high‐speed network technologies have been clinically implemented recently. Such systems include systems that make hospital or clinical business efficient and systems that directly contribute to diagnoses. Medical orga...

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Bibliographic Details
Published in:Systems and computers in Japan 2005-01, Vol.36 (1), p.12-24
Main Authors: Toyoda, Shuichi, Niki, Noboru, Uemura, Tetsuya, Nishitani, Hiromu
Format: Article
Language:English
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Summary:Health care information systems developed by applying advancements in computer and high‐speed network technologies have been clinically implemented recently. Such systems include systems that make hospital or clinical business efficient and systems that directly contribute to diagnoses. Medical organizations have sought systems that support efficient examinations and diagnoses by accurately grasping long‐term care of chronic diseases related to daily habits etc. This paper presents a clinical support system that targets medium‐ to small‐scale medical organizations. This system attempts to make diagnoses efficient by supporting grasping of long‐term order data by aggregating and visualizing order data from the point of view of their contents characteristics and progress characteristics. Aggregation allows efficient expression of the variability of order data by taking combinations of order items based on their kinds as basic units. Visualization of aggregated order data allows expression of the continuity and periodicity of the data. In addition, it enables grasping of present and past orders etc. from the same screen. An order entry system constructed with the proposed clinical support system as its nucleus has been used clinically and its efficacy has been verified through a questionnaire study of doctors, analysis of the aggregating effects, a questionnaire study of the usage frequencies of input schemes, and measurements of the database access time. © 2004 Wiley Periodicals, Inc. Syst Comp Jpn, 36(1): 12–24, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/scj.10649
ISSN:0882-1666
1520-684X
DOI:10.1002/scj.10649