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会議記事査読

2 被引用数 (Scopus)


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.

ジャーナルProcedia Computer Science
出版ステータス出版済み - 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月 7 20159月 9 2015

!!!All Science Journal Classification (ASJC) codes

  • コンピュータサイエンス一般


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