Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Exploring and developing consumer health vocabularies.

Qing T Zeng1, Tony Tse

  • 1Department of Radiology, Decision Systems Group, Thorn 309, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA. qzeng@dsg.bwh.harvard.edu

Journal of the American Medical Informatics Association : JAMIA
|October 14, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Machine learning-based risk scores are associated with conversion to dementia in Veterans.

Journal of Alzheimer's disease : JAD·2025
Same author

Identifying Probable Dementia in Undiagnosed Black and White Americans Using Machine Learning in Veterans Health Administration Electronic Health Records.

Big data and cognitive computing·2025
Same author

Gender Eligibility Descriptions for Clinical Trials-Reply.

JAMA·2024
Same author

Characterizing Gender Eligibility Descriptions for Clinical Trials Registered on ClinicalTrials.gov.

JAMA·2023
Same author

Shedding light on data monitoring committee charters on ClinicalTrials.gov.

Clinical trials (London, England)·2023
Same author

Characterization of key information sections in informed consent forms posted on ClinicalTrials.gov.

Journal of clinical and translational science·2023

Developing consumer health vocabularies (CHVs) is crucial for helping people find and understand health information. This study outlines a practical approach to creating CHVs, bridging the gap between consumer language and professional health concepts.

Area of Science:

  • Health Informatics
  • Consumer Health Information
  • Lexicography

Background:

  • Laypersons face challenges accessing and comprehending health information due to knowledge gaps.
  • Existing research highlights vocabulary mismatches between consumers and health professionals.
  • Systematic development and evaluation of consumer health vocabularies (CHVs) remain limited.

Purpose of the Study:

  • To advocate for the practical necessity of CHV development in health informatics.
  • To facilitate consumer health information seeking, retrieval, and understanding through improved vocabularies.
  • To explore the relationship between common consumer health expressions and professional medical concepts.

Main Methods:

  • A distributed, bottom-up approach was employed for CHV development.

Related Experiment Videos

  • Exploration of the linguistic and conceptual links between consumer health terms and professional terminology.
  • Development of a preliminary, open-access, first-generation CHV.
  • Main Results:

    • A methodology for exploring consumer health expressions and professional concepts was described.
    • A draft "first-generation" consumer health vocabulary was created.
    • The approach provides insights into consumer health language.

    Conclusions:

    • CHV development is a practical and necessary endeavor for health informatics.
    • The proposed approach aids in bridging the vocabulary gap for better health information access.
    • Further research and development are needed to refine CHVs and support consumer health information seeking.