Health Information Seeking From an Intelligent Web-Based Symptom Checker: Cross-sectional Questionnaire Study.

Journal: Journal of medical Internet research
PMID: 35984690

Abstract

BACKGROUND: The ever-growing amount of health information available on the web is increasing the demand for tools providing personalized and actionable health information. Such tools include symptom checkers that provide users with a potential diagnosis after responding to a set of probes about their symptoms. Although the potential for their utility is great, little is known about such tools' actual use and effects.

Authors

  • Kimberly Arellano Carmona
    School of Social Sciences, Humanities and Arts, University of California, Merced, CA, United States.
  • Deepti Chittamuru
    School of Social Sciences, Humanities and Arts, University of California, Merced, CA, United States.
  • Richard L Kravitz
    University of California, Davis, Sacramento, CA, United States.
  • Steven Ramondt
    Department of Donor Medicine Research, Sanquin Research, Amsterdam, Netherlands.
  • A Susana Ramírez
    School of Social Sciences, Humanities and Arts, University of California, Merced, CA, United States.

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