Associations Between Online Search Trends and Outpatient Visits for Common Medical Symptoms in the United States from 2004 to 2019: Time Series Ecological Study

This supports that, on a population level, exploring online health information about some common, acute symptoms did not lead to increase in care seeking, but instead, suggests that a substantial portion of the population found the information to be reassuring or informative enough to not feel the need to seek care from a primary health care provider. With the rapid evolution and availability of more detailed and personalized information from various large language models, it is likely that internet search habits of users will continue to grow, and with it, continue to transform interactions with the health care system.

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Publication Details

Journal
JMIR Formative Research
Published
2025-09-23
DOI
https://doi.org/10.2196/77274
Citations
1
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
1.35
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article

Associations Between Online Search Trends and Outpatient Visits for Common Medical Symptoms in the United States from 2004 to 2019: Time Series Ecological Study

Ryan A. Heumann, Steven R. Steinhubl
1 citations
JMIR Formative Research
Data-Driven Disease Surveillance
1.35
article

Associations Between Online Search Trends and Outpatient Visits for Common Medical Symptoms in the United States from 2004 to 2019: Time Series Ecological Study

Ryan A. Heumann, Steven R. Steinhubl
article en
1 citations

Abstract

This supports that, on a population level, exploring online health information about some common, acute symptoms did not lead to increase in care seeking, but instead, suggests that a substantial portion of the population found the information to be reassuring or informative enough to not feel the need to seek care from a primary health care provider. With the rapid evolution and availability of more detailed and personalized information from various large language models, it is likely that internet search habits of users will continue to grow, and with it, continue to transform interactions with the health care system.

JMIR Formative ResearchVol. 9
Purdue University West Lafayette (US), Indiana University – Purdue University Indianapolis (US)
Openalex Percentile: Top 15%
Data-Driven Disease Surveillance
1.35
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