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Triage Accuracy of Symptom Checker Apps: 5-Year Follow-up Evaluation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/jama.283.13.1715openalex-snapshot
Comparison of Vignettes, Standardized Patients, and Chart Abstraction
inferredcites →https://doi.org/10.1001/jamainternmed.2016.6001openalex-snapshot
Comparison of Physician and Computer Diagnostic Accuracy
inferredcites →https://doi.org/10.1001/jamanetworkopen.2019.18561openalex-snapshot
Association of Use of Online Symptom Checkers With Patients’ Plans for Seeking Care
inferredcites →https://doi.org/10.1001/jamanetworkopen.2021.3287openalex-snapshot
Assessment of Diagnosis and Triage in Validated Case Vignettes Among Nonphysicians Before and After Internet Search
inferredcites →https://doi.org/10.1007/s11606-011-1804-8openalex-snapshot
Differential Diagnosis Generators: an Evaluation of Currently Available Computer Programs
inferredcites →https://doi.org/10.1016/0163-8343(86)90072-1openalex-snapshot
Initial clinical judgments by internists, family physicians, and psychiatrists in response to patient vignettes: I. Assessment of problems and diagnostic possibilities
inferredcites →https://doi.org/10.1016/s0016-5085(17)32937-2openalex-snapshot
Symptom Checkers vs. Doctors, the Ultimate Test: A Prospective Study of Patients Presenting with Abdominal Pain
inferredcites →https://doi.org/10.1016/s0140-6736(18)32819-8openalex-snapshot
Safety of patient-facing digital symptom checkers
inferredcites →https://doi.org/10.1017/s0950268815000503openalex-snapshot
Internet-based remote health self-checker symptom data as an adjuvant to a national syndromic surveillance system
inferredcites →https://doi.org/10.1038/s41746-019-0183-0openalex-snapshot
A randomized controlled trial of online symptom searching to inform patient generated differential diagnoses
inferredcites →https://doi.org/10.1038/s41746-022-00667-wopenalex-snapshot
The diagnostic and triage accuracy of digital and online symptom checker tools: a systematic review
inferredcites →https://doi.org/10.1055/a-1306-3016openalex-snapshot
Digital Health schafft den Durchbruch
inferredcites →https://doi.org/10.1056/nejm199406233302506openalex-snapshot
Performance of Four Computer-Based Diagnostic Systems
inferredcites →https://doi.org/10.1071/py21032openalex-snapshot
Quality of condition suggestions and urgency advice provided by the Ada symptom assessment app evaluated with vignettes optimised for Australia*
inferredcites →https://doi.org/10.1080/08870446.2020.1849701openalex-snapshot
Using decision aids to support self-isolation during the COVID-19 pandemic
inferredcites →https://doi.org/10.1093/jamia/ocaa051openalex-snapshot
Rapid design and implementation of an integrated patient self-triage and self-scheduling tool for COVID-19
inferredcites →https://doi.org/10.1111/j.1749-4486.2011.02375.xopenalex-snapshot
How good is Internet self‐diagnosis of ENT symptoms using Boots WebMD symptom checker?
inferredcites →https://doi.org/10.1136/bmj.h3480openalex-snapshot
Evaluation of symptom checkers for self diagnosis and triage: audit study
inferredcites →https://doi.org/10.1136/bmjhci-2019-100114openalex-snapshot
Limited evidence of benefits of patient operated intelligent primary care triage tools: findings of a literature review
inferredcites →https://doi.org/10.1136/bmjopen-2018-027743openalex-snapshot
Digital and online symptom checkers and health assessment/triage services for urgent health problems: systematic review
inferredcites →https://doi.org/10.1136/bmjopen-2020-040269openalex-snapshot
How accurate are digital symptom assessment apps for suggesting conditions and urgency advice? A clinical vignettes comparison to GPs
inferredcites →https://doi.org/10.1177/1024907919842486openalex-snapshot
Triage accuracy of online symptom checkers for Accident and Emergency Department patients
inferredcites →https://doi.org/10.1177/14604582211052259openalex-snapshot
Leaders’ support for using online symptom checkers in Finnish primary care: Survey study
inferredcites →https://doi.org/10.1186/s13075-021-02498-8openalex-snapshot
Accuracy, patient-perceived usability, and acceptance of two symptom checkers (Ada and Rheport) in rheumatology: interim results from a randomized controlled crossover trial
inferredcites →https://doi.org/10.1371/journal.pone.0254088openalex-snapshot
Accuracy of online symptom checkers and the potential impact on service utilisation
inferredcites →https://doi.org/10.2147/jmdh.s285014openalex-snapshot
A Review of Mobile Applications Available in the App and Google Play Stores Used During the COVID-19 Outbreak
inferredcites →https://doi.org/10.2196/13863openalex-snapshot
Accuracy of a Chatbot (Ada) in the Diagnosis of Mental Disorders: Comparative Case Study With Lay and Expert Users
inferredcites →https://doi.org/10.2196/14679openalex-snapshot
Patient Perspectives on the Usefulness of an Artificial Intelligence–Assisted Symptom Checker: Cross-Sectional Survey Study
inferredcites →https://doi.org/10.2196/18097openalex-snapshot
Evaluation of Four Artificial Intelligence–Assisted Self-Diagnosis Apps on Three Diagnoses: Two-Year Follow-Up Study
inferredcites →https://doi.org/10.2196/21364openalex-snapshot
Syndromic Surveillance Insights from a Symptom Assessment App Before and During COVID-19 Measures in Germany and the United Kingdom: Results From Repeated Cross-Sectional Analyses
inferredcites →https://doi.org/10.2196/22637openalex-snapshot
Young Adults’ Perspectives on the Use of Symptom Checkers for Self-Triage and Self-Diagnosis: Qualitative Study
inferredcites →https://doi.org/10.2196/24475openalex-snapshot
Benchmarking Triage Capability of Symptom Checkers Against That of Medical Laypersons: Survey Study
inferredcites →https://doi.org/10.2196/29386openalex-snapshot
The Impact of Explanations on Layperson Trust in Artificial Intelligence–Driven Symptom Checker Apps: Experimental Study
inferredcites →https://doi.org/10.2196/31810openalex-snapshot
Triage Accuracy of Symptom Checker Apps: 5-Year Follow-up Evaluation
inferredcites →https://doi.org/10.2196/32832openalex-snapshot
Diagnostic Performance of an App-Based Symptom Checker in Mental Disorders: Comparative Study in Psychotherapy Outpatients
inferredcites →https://doi.org/10.2196/jmir.6755openalex-snapshot
Web Use for Symptom Appraisal of Physical Health Conditions: A Systematic Review
inferredcites →https://doi.org/10.2196/preprints.30215openalex-snapshot
Correction: Benchmarking Triage Capability of Symptom Checkers Against That of Medical Laypersons: Survey Study (Preprint)
inferredcites →https://doi.org/10.3233/shti200305openalex-snapshot
Health Professionals’ Experiences of the Benefits and Challenges of Online Symptom Checkers
inferredcites →https://doi.org/10.3389/fpsyt.2021.557299openalex-snapshot
An Overview of Commercially Available Apps in the Initial Months of the COVID-19 Pandemic
inferredcites →https://doi.org/10.5694/mja2.50600openalex-snapshot
The quality of diagnosis and triage advice provided by free online symptom checkers and apps in Australia
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Notfallversorgung – Update 2025
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Usability and Acceptability of a Symptom Checker App by Patients Seeking Urgent Care
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Congruency of Symptom Choice Between Patients Performing Online Self-Triage and Nurse Phone Triage
inferred← citeshttps://doi.org/10.1101/2024.04.02.24305193openalex-snapshot
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Accuracy of Online Symptom-Assessment Applications, Large Language Models, and Laypeople for Self-Triage Decisions: A Systematic Review
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inferred← citeshttps://doi.org/10.1177/20552076241231555openalex-snapshot
‘Better see a doctor?’ Status quo of symptom checker apps in Germany: A cross-sectional survey with a mixed-methods design (CHECK.APP)
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Diagnostic performance of generative artificial intelligences for a series of complex case reports
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Pilot study on usability, usefulness, and perceived value of an intelligent health assistant to provide simple, trustworthy, and relevant health information for patient empowerment
inferred← citeshttps://doi.org/10.1177/20552076261487359openalex-snapshot
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Additional file 1 of Supporting primary care through symptom checking artificial intelligence: a study of patient and physician attitudes in Italian general practice
inferred← citeshttps://doi.org/10.6084/m9.figshare.24079682openalex-snapshot
Additional file 2 of Supporting primary care through symptom checking artificial intelligence: a study of patient and physician attitudes in Italian general practice
inferred← citeshttps://doi.org/10.6084/m9.figshare.24079685openalex-snapshot
Additional file 3 of Supporting primary care through symptom checking artificial intelligence: a study of patient and physician attitudes in Italian general practice
inferred← citeshttps://doi.org/10.6084/m9.figshare.24079688openalex-snapshot
Additional file 4 of Supporting primary care through symptom checking artificial intelligence: a study of patient and physician attitudes in Italian general practice
inferred← citeshttps://doi.org/10.6084/m9.figshare.24079691openalex-snapshot
Additional file 5 of Supporting primary care through symptom checking artificial intelligence: a study of patient and physician attitudes in Italian general practice
inferred← citeshttps://doi.org/10.6084/m9.figshare.26681908openalex-snapshot
Additional file 1 of “That’s just Future Medicine” - a qualitative study on users’ experiences of symptom checker apps
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Bridging the auditability gap in consumer medical AI: design and public deployment of a Georgian-language, evidence-based symptom triage system (SheniEkimi) with 150 guideline-anchored scenarios and 29 validated clinical decision rules
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Safety Audit of a Large Language Model for Lay Self-Triage Using Japanese Symptom Vignettes: Persistent Red-Flag Under-Triage Despite Improved Reproducibility Under Near-Deterministic Decoding
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