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Updated: May 21, 2026
11:21
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
From web search to healthcare utilization: privacy-sensitive studies from mobile data
1Microsoft Research, Redmond, WA 98052, USA. ryenw@microsoft.com
Summary
Mobile search data reveals how symptom concerns drive healthcare seeking behavior. This privacy-sensitive analysis links online health information seeking to in-person medical care utilization.
Area of Science:
- Digital Health
- Health Informatics
- Mobile Health (mHealth)
Background:
- Understanding the patient journey from symptom recognition to healthcare engagement is crucial.
- Mobile devices generate vast amounts of data relevant to health information seeking behaviors.
Purpose of the Study:
- To explore the relationship between health information seeking activities and engagement with healthcare professionals.
- To conduct a privacy-sensitive analysis of geo-tagged mobile device data.
Main Methods:
- Analysis of anonymized mobile interaction logs, including time-stamped search queries and distances to medical facilities.
- Examination of search activity preceding evidence of healthcare utilization (EHU), defined as queries near medical facilities.
Main Results:
- The time from symptom searches to seeking healthcare is influenced by symptom acuity.
- Statistical models predict forthcoming EHU with 65%-90% accuracy based on search and utilization history.
Conclusions:
- Privacy-sensitive analysis of mobile data offers insights into health information pursuit and healthcare engagement.
- Large-scale mobile data studies can illuminate the transition from symptom-related searches to professional care seeking.
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