Methods for linking EHR notes to education materials

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• 作者：Jiaping Zheng ; Hong Yu
• 关键词：EHR note ; Patient education ; Information retrieval
• 刊名：Information Retrieval
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：19
• 期：1-2
• 页码：174-188
• 全文大小：502 KB
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• 作者单位：Jiaping Zheng (1)
  Hong Yu (2) (3)
  
  1. University of Massachusetts Amherst, Amherst, MA, USA
  2. Bedford VA Medical Center, Bedford, MA, USA
  3. University of Massachusetts Medical School, Worcester, MA, USA
  
• 刊物类别：Computer Science
• 刊物主题：Management of Computing and Information Systems
  Data Structures, Cryptology and Information Theory
  
• 出版者：Springer Netherlands
• ISSN：1573-7659

文摘

It has been shown that accessing the patients’ own electronic health records (EHR) can enhance their medical understanding and provide clinically relevant benefits. However, languages that are difficult for non-medical professionals to comprehend are prevalent in the EHR notes. The valuable and authoritative information contained in the EHR is thus less accessible to the patients, who ultimately stand to benefit the most from the information. To address this challenge, we are developing a system to retrieve EHR note-specific online consumer-oriented health education materials. We explored several query generation methods to convert long EHR notes to effective queries, including topic models and key concept identification. Our experiments show that queries using key concepts identified by a learning based model with pseudo-relevance feedback significantly outperform the baseline system of using the full text note. Keywords EHR note Patient education Information retrieval