On Clinical Pathway Discovery from Electronic Health Record Data

被引：17

作者：

Zhang, Yiye ^{[1
]}

Padman, Rema ^{[2
]}

Wasserman, Larry ^{[3
,4
]}

Patel, Nirav ^{[5
]}

Teredesai, Pradip ^{[5
]}

Xie, Qizhi ^{[5
]}

机构：

[1] Carnegie Mellon Univ, H John Heinz III Coll, Pittsburgh, PA 15213 USA

[2] Carnegie Mellon Univ, H John Heinz III Coll, Ctr Hlth Analyt, Pittsburgh, PA 15213 USA

[3] Carnegie Mellon Univ, Dept Stat, Pittsburgh, PA 15213 USA

[4] Carnegie Mellon Univ, Machine Learning Dept, Pittsburgh, PA 15213 USA

[5] Teredesai McCann & Associates, Washington, DC 15301 USA

来源：

IEEE INTELLIGENT SYSTEMS | 2015年 / 30卷 / 01期

关键词：

clinical pathway; clinical practice guideline; data analysis; electronic health record; evidence-based care; health information technology; hierarchical clustering; Markov chain;

D O I：

10.1109/MIS.2015.14

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this column, the authors propose a practice-based clinical pathway development process using patient data from electronic health records. The authors aim to examine the interaction between patients' health conditions and treatment approaches, and learn the most common pathways of care to inform better patient engagement and outcomes in healthcare practices. © 2001-2011 IEEE.

引用

页码：70 / 75

页数：6

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