Evidence map›Paper›PMID 35977992›Full record

ReviewNPJ digital medicine2022

The diagnostic and triage accuracy of digital and online symptom checker tools: a systematic review.

William Wallace, Calvin Chan, Swathikan Chidambaram, Lydia Hanna, Fahad Mujtaba Iqbal, Amish Acharya, Pasha Normahani, Hutan Ashrafian, Sheraz R Markar, Viknesh Sounderajah and 1 more

Abstract readReview
In one paragraph

Review in NPJ digital medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

88 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  10. Evaluation of the Community Urgent Eyecare Service in Greater Manchester, Including the Impact of Independent Prescribing.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
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  15. Ethical Considerations in Personal Health Large Language Models.Journal of medical Internet research · 2026
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28 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

William Wallace *Department of Surgery & Cancer, Imperial College London, St. Mary's Hospital, London, W2 1NY, UK.ORCID http://orcid.org/0000-0003-1726-2923
Calvin Chan *Department of Surgery & Cancer, Imperial College London, St. Mary's Hospital, London, W2 1NY, UK.
Swathikan ChidambaramDepartment of Surgery & Cancer, Imperial College London, St. Mary's Hospital, London, W2 1NY, UK.
Lydia HannaDepartment of Surgery & Cancer, Imperial College London, St. Mary's Hospital, London, W2 1NY, UK.
Fahad Mujtaba IqbalDepartment of Surgery & Cancer, Imperial College London, St. Mary's Hospital, London, W2 1NY, UK.
Amish AcharyaDepartment of Surgery & Cancer, Imperial College London, St. Mary's Hospital, London, W2 1NY, UK.
Pasha NormahaniDepartment of Surgery & Cancer, Imperial College London, St. Mary's Hospital, London, W2 1NY, UK.
Hutan AshrafianInstitute of Global Health Innovation, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK.
Sheraz R MarkarDepartment of Surgery & Cancer, Imperial College London, St. Mary's Hospital, London, W2 1NY, UK.
Viknesh SounderajahInstitute of Global Health Innovation, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK. vs1108@imperial.ac.uk.ORCID http://orcid.org/0000-0002-4595-8402
Ara DarziDepartment of Surgery & Cancer, Imperial College London, St. Mary's Hospital, London, W2 1NY, UK.ORCID http://orcid.org/0000-0001-7815-7989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital and online symptom checkers are an increasingly adopted class of health technologies that enable patients to input their symptoms and biodata to produce a set of likely diagnoses and associated triage advice. However, concerns regarding the accuracy and safety of these symptom checkers have been raised. This systematic review evaluates the accuracy of symptom checkers in providing diagnoses and appropriate triage advice. MEDLINE and Web of Science were searched for studies that used either real or simulated patients to evaluate online or digital symptom checkers. The primary outcomes were the diagnostic and triage accuracy of the symptom checkers. The QUADAS-2 tool was used to assess study quality. Of the 177 studies retrieved, 10 studies met the inclusion criteria. Researchers evaluated the accuracy of symptom checkers using a variety of medical conditions, including ophthalmological conditions, inflammatory arthritides and HIV. A total of 50% of the studies recruited real patients, while the remainder used simulated cases. The diagnostic accuracy of the primary diagnosis was low across included studies (range: 19-37.9%) and varied between individual symptom checkers, despite consistent symptom data input. Triage accuracy (range: 48.8-90.1%) was typically higher than diagnostic accuracy. Overall, the diagnostic and triage accuracy of symptom checkers are variable and of low accuracy. Given the increasing push towards adopting this class of technologies across numerous health systems, this study demonstrates that reliance upon symptom checkers could pose significant patient safety hazards. Large-scale primary studies, based upon real-world data, are warranted to demonstrate the adequate performance of these technologies in a manner that is non-inferior to current best practices. Moreover, an urgent assessment of how these systems are regulated and implemented is required.

Identifiers

PMID35977992
PMCPMC9385087

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.