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Stud Health Technol Inform ; 216: 1077, 2015.
Article in English | MEDLINE | ID: mdl-26262376

ABSTRACT

Recently the clinical pathway has progressed with digitalization and the analysis of activity. There are many previous studies on the clinical pathway but not many feed directly into medical practice. We constructed a mind map system that applies the spanning tree. This system can visualize temporal relations in outcome variances, and indicate outcomes that affect long-term hospitalization.


Subject(s)
Arthroplasty, Replacement, Hip/statistics & numerical data , Chronology as Topic , Critical Pathways/statistics & numerical data , Data Mining/methods , Electronic Health Records/statistics & numerical data , Hospitalization/statistics & numerical data , Critical Pathways/classification , Electronic Health Records/classification , Japan , Outcome Assessment, Health Care , Reproducibility of Results , Sensitivity and Specificity , Workflow
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