Symptom Tracking Systems
Symptom Tracking Systems is a mobile health informatics application category that enables individuals to monitor, record, and analyze self-reported symptom data over time, distinguished by its integration of real-time data collection, personalized feedback mechanisms, and interoperability with clinical systems for continuous health management.
366
Publications
19.4K
Citations
2.3K
Authors
848
Institutions
Publications per year
2017–2026
224
Parents
366
Evaluation of symptom checkers for self diagnosis and triage: audit study
Hannah L. Semigran, Jeffrey A. Linder, Courtney A. Gidengil et al. · BMJ · 2015 · 509 citations · Full text
Rapid implementation of mobile technology for real-time epidemiology of COVID-19
David A. Drew, Long H. Nguyen, Claire J. Steves et al. · Science · 2020 · 410 citations · Full text
1–5 of 366
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848
Harvard University
Cambridge, United States
13 h-index
46 publications
4.9K citations
University of Washington
Seattle, United States
12 h-index
28 publications
975 citations
King's College London
London, United Kingdom
11 h-index
70 publications
7.5K citations

Cornell University
Ithaca, United States
9 h-index
23 publications
3.5K citations
University of Oxford
Oxford, United Kingdom
9 h-index
47 publications
3.9K citations
Northwestern University
Evanston, United States
8 h-index
24 publications
1.1K citations
University of Utah
Salt Lake City, United States
8 h-index
36 publications
1.5K citations
University of California, San Francisco
San Francisco, United States
7 h-index
22 publications
867 citations
1–8 of 848
19 publications · 1.2K citations
19
h-index
13 publications · 649 citations
12
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Repository · 8 publications · 289 citations
8
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7 publications · 569 citations
7
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Repository · 7 publications · 167 citations
7
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