Visualization of key factor relation in clinical pathway

Takanori Yamashita, Brendan Flanagan, Yoshifumi Wakata, Satoshi Hamai, Yasuharu Nakashima, Yukihide Iwamoto, Naoki Nakashima, Sachio Hirokawa

研究成果: ジャーナルへの寄稿Conference article

抄録

The secondary use of medical data to improve medical care is gaining much attention. We have analyzed electronic clinical pathways for improving the medical process. The analysis of clinical pathways so far has used statistics analysis models, however as issue remains that the order, and multistory spatial and time relations of the each factor could not be analyzed. We constructed an Outcome tree system that shows the greatest significant relation for each factor. The Hip replacement arthroplasty clinical pathway was analyzed by the system, and the outcome variance of the clinical pathway was visualized. The results indicate the path of patient's who have a long hospitalization stay and extracted four critical indicators.

元の言語英語
ページ(範囲)342-351
ページ数10
ジャーナルProcedia Computer Science
60
発行部数1
DOI
出版物ステータス出版済み - 1 1 2015
イベント19th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES 2015 - , シンガポール
継続期間: 9 7 20159 9 2015

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Arthroplasty
Health care
Visualization
Statistics

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

これを引用

Visualization of key factor relation in clinical pathway. / Yamashita, Takanori; Flanagan, Brendan; Wakata, Yoshifumi; Hamai, Satoshi; Nakashima, Yasuharu; Iwamoto, Yukihide; Nakashima, Naoki; Hirokawa, Sachio.

:: Procedia Computer Science, 巻 60, 番号 1, 01.01.2015, p. 342-351.

研究成果: ジャーナルへの寄稿Conference article

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AU - Nakashima, Naoki

AU - Hirokawa, Sachio

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