Published on in Vol 19, No 3 (2017): March

Readability Formulas and User Perceptions of Electronic Health Records Difficulty: A Corpus Study

Readability Formulas and User Perceptions of Electronic Health Records Difficulty: A Corpus Study

Readability Formulas and User Perceptions of Electronic Health Records Difficulty: A Corpus Study

Authors of this article:

Jiaping Zheng 1 Author Orcid Image ;   Hong Yu 2, 3 Author Orcid Image

Journals

  1. Crossley S, Balyan R, Liu J, Karter A, McNamara D, Schillinger D. Predicting the readability of physicians’ secure messages to improve health communication using novel linguistic features: Findings from the ECLIPPSE study. Journal of Communication in Healthcare 2020;13(4):344 View
  2. Palotti J, Zuccon G, Hanbury A. Consumer Health Search on the Web: Study of Web Page Understandability and Its Integration in Ranking Algorithms. Journal of Medical Internet Research 2019;21(1):e10986 View
  3. Stewart J, Heit M, Meriwether K, Hobson D, Francis S. Analyzing the Readability of Online Urogynecologic Patient Information. Female Pelvic Medicine & Reconstructive Surgery 2019;25(1):29 View
  4. Zheng J, Yu H. Assessing the Readability of Medical Documents: A Ranking Approach. JMIR Medical Informatics 2018;6(1):e17 View
  5. Thomas D. Quantitative Text Mining Analysis of theTestimonies for the Church: Implications for Non-Native English Readers. Journal of Research on Christian Education 2018;27(2):145 View
  6. Yu B, He Z, Xing A, Lustria M. An Informatics Framework to Assess Consumer Health Language Complexity Differences: Proof-of-Concept Study. Journal of Medical Internet Research 2020;22(5):e16795 View
  7. Alkureishi M, Lee W, Webb S, Arora V. Integrating Patient-Centered Electronic Health Record Communication Training into Resident Onboarding: Curriculum Development and Post-Implementation Survey Among Housestaff. JMIR Medical Education 2018;4(1):e1 View
  8. Lalor J, Wu H, Chen L, Mazor K, Yu H. ComprehENotes, an Instrument to Assess Patient Reading Comprehension of Electronic Health Record Notes: Development and Validation. Journal of Medical Internet Research 2018;20(4):e139 View
  9. Liu Y, Ji M, Lin S, Zhao M, Lyv Z. Combining Readability Formulas and Machine Learning for Reader-oriented Evaluation of Online Health Resources. IEEE Access 2021;9:67610 View
  10. Phan A, Jubril A, Menga E, Mesfin A. Readability of the Most Commonly Accessed Online Patient Education Materials Pertaining to Surgical Treatments of the Spine. World Neurosurgery 2021;152:e583 View
  11. Xie W, Ji C, Hao T, Chow C. Predicting the Easiness and Complexity of English Health Materials for International Tertiary Students With Linguistically Enhanced Machine Learning Algorithms: Development and Validation Study. JMIR Medical Informatics 2021;9(10):e25110 View
  12. Leroy G, Kauchak D, Haeger D, Spegman D. Evaluation of an online text simplification editor using manual and automated metrics for perceived and actual text difficulty. JAMIA Open 2022;5(2) View
  13. Plambeck B, Jiang J, Perez J, Wordekemper B, Fu D, Colvin A, Deibert C. Online Health Information for Penile Prosthesis Implants Lacks Quality and Is Unreadable to the Average US Patient. Cureus 2023 View
  14. Xu Z, Lin C, Laffidy M, Fowks L. Perpetuating Health Disparities of Minority Groups: The Role of U.S. Newspapers in the COVID-19 Pandemic. Race and Social Problems 2022;14(4):357 View
  15. Amanda R, Rana K, Saunders P, Tracy M, Bridges N, Poudel P, Arora A. Evaluation of the usability, content, readability and cultural appropriateness of online alcohol and other drugs resources for Aboriginal and Torres Strait Islander Peoples in New South Wales, Australia. BMJ Open 2023;13(5):e069756 View
  16. Lin A, Arabandi S, Beale T, Duncan W, Hicks A, Hogan W, Jensen M, Koppel R, Martínez-Costa C, Nytrø Ø, Obeid J, Oliveira J, Ruttenberg A, Seppälä S, Smith B, Soergel D, Zheng J, Schulz S. Improving the Quality and Utility of Electronic Health Record Data through Ontologies. Standards 2023;3(3):316 View
  17. Sarin M, Garraffa M. Can readability formulae adapt to the changing demographics of the UK school-aged population? A study on reading materials for school-age bilingual readers. Ampersand 2023;11:100141 View

Books/Policy Documents

  1. Santini M, Jönsson A, Strandqvist W, Cederblad G, Nyström M, Alirezaie M, Lind L, Blomqvist E, Lindén M, Kristoffersson A. Cyber-Physical Systems for Social Applications. View