Cited by 11Telemedicine and Telehealth ImplementationHealthcare Systems and TechnologyCutaneous Melanoma Detection and Management

Optimizing teledermatology: looking beyond the COVID‐19 pandemic

Choi, Ellie, Mak, Wai Keong, Law, Je Yin, Santos, Diana, Quek, Swee Chye·2021·International Journal of Dermatology

Integrity signals

Registry

Crossref · 10.1111/ijd.15272

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

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Cites

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Cited by

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Authors
Choi, E., Mak, W. K., Law, J. Y., Santos, D., & Quek, S. C.
Affiliations
  • National University Health System (SG)
  • Ministry of Health (SG)
  • National University of Singapore (SG)
Corresponding author
Choi, Ellie
Venue
International Journal of Dermatology
Publisher
Wiley
Published
2020-10-31
Volume
60
Issue
1
Pages
119-121
ISSN
  • 0011-9059 (ISSN-L)
  • 1365-4632
OpenAlex
W3095428886
Cited by
11
References
2
Citations by year
2025: 1 · 2024: 1 · 2023: 2 · 2022: 4 · 2021: 3
FWCI
1.69
Type
journal article
Language
en
Open access
closed
Locations
  • International Journal of Dermatology (publishedVersion)
  • PubMed (publishedVersion)
  • National University of Singapore (submittedVersion)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Healthcare Systems and Technology
  • Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
Keywords
teledermatology, telemedicine, COVID-19 pandemic, dermatology services, digital health, remote patient care
MeSH terms
COVID-19, Dermatology, Humans, Skin Diseases, Telemedicine

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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