Literature DB >> 17911889

Text characteristics of clinical reports and their implications for the readability of personal health records.

Qing Zeng-Treitler1, Hyeoneui Kim, Sergey Goryachev, Alla Keselman, Laura Slaughter, Catherine Arnott Smith.   

Abstract

Through personal health record applications (PHR), consumers are gaining access to their electronic health records (EHR). A new challenge is to make the content of these records comprehensible to consumers. To address this challenge, we analyzed the text unit length, syntactic and semantic characteristics of three sets of health texts: clinical reports from EHR, known difficult materials and easy-to-read materials. Our findings suggest that EHR texts are more different from easy texts and more similar to difficult texts in terms of syntactic and semantic characteristics, and EHR texts are more similar to easy texts and different from difficult texts in regard to text unit length features. Since commonly used readability formulas focus more on text unit length characteristics, this study points to the need to tackle syntactic and semantic issues in the effort to measure and improve PHR readability.

Mesh:

Year:  2007        PMID: 17911889

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  9 in total

1.  Voice-dictated versus typed-in clinician notes: linguistic properties and the potential implications on natural language processing.

Authors:  Kai Zheng; Qiaozhu Mei; Lei Yang; Frank J Manion; Ulysses J Balis; David A Hanauer
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Quantitative evaluation of expression difference in report assignments between nursing and radiologic technology departments.

Authors:  Naoki Nishimoto; Yuki Yokooka; Ayako Yagahara; Masahito Uesugi; Katsuhiko Ogasawara
Journal:  Radiol Phys Technol       Date:  2010-09-10

3.  Assessing the readability of ClinicalTrials.gov.

Authors:  Danny T Y Wu; David A Hanauer; Qiaozhu Mei; Patricia M Clark; Lawrence C An; Joshua Proulx; Qing T Zeng; V G Vinod Vydiswaran; Kevyn Collins-Thompson; Kai Zheng
Journal:  J Am Med Inform Assoc       Date:  2015-08-11       Impact factor: 4.497

4.  Evaluating online health information: beyond readability formulas.

Authors:  Gondy Leroy; Stephen Helmreich; James R Cowie; Trudi Miller; Wei Zheng
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

5.  Beyond surface characteristics: a new health text-specific readability measurement.

Authors:  Hyeoneui Kim; Sergey Goryachev; Graciela Rosemblat; Allen Browne; Alla Keselman; Qing Zeng-Treitler
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

6.  Applying multiple methods to assess the readability of a large corpus of medical documents.

Authors:  Danny T Y Wu; David A Hanauer; Qiaozhu Mei; Patricia M Clark; Lawrence C An; Jianbo Lei; Joshua Proulx; Qing Zeng-Treitler; Kai Zheng
Journal:  Stud Health Technol Inform       Date:  2013

7.  A research agenda for personal health records (PHRs).

Authors:  David C Kaelber; Ashish K Jha; Douglas Johnston; Blackford Middleton; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2008-08-28       Impact factor: 4.497

8.  Unsupervised ensemble ranking of terms in electronic health record notes based on their importance to patients.

Authors:  Jinying Chen; Hong Yu
Journal:  J Biomed Inform       Date:  2017-03-04       Impact factor: 6.317

9.  Finding Important Terms for Patients in Their Electronic Health Records: A Learning-to-Rank Approach Using Expert Annotations.

Authors:  Jinying Chen; Jiaping Zheng; Hong Yu
Journal:  JMIR Med Inform       Date:  2016-11-30
  9 in total

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