Evaluation of an Internet-based teledermatology system
Abstract
We established a Website which allowed clinical dermatology cases to be submitted, with digital images, through a simple online form. The case could then be managed within the public health service. A database containing 6000 drug interactions was also available on the Website to help clinical management. The Website was tested by 10 junior doctors, who examined dermatology patients, filled in the electronic form with their clinical observations and descriptions, and forwarded digital images. Five dermatologists then evaluated the 71 cases stored on the Website. The agreement between the virtual evaluation and the definitive diagnosis (on face-to-face examination) was 95%. The Website could be used in national health strategies, as a tool for promoting voluntary medical attendance, and for multicentre epidemiological surveillance.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The authors' experience is similar to previous studies involving dermatologists in other settings using mobile phones or standard teledermatology with personal computers and digital cameras.
“Overall, our experience is similar to that from a number of previous studies involving dermatologists in other settings using either mobile phones (4, 5) or standard teledermatology with personal computers (PCs) and digital cameras (6-11).”
From Mobile Teledermatology in Sub-Saharan Africa: A Useful Tool in Supporting Health Workers in Low-resource Centres (2013) · cites this paper as [8]
Cites
The Substitution of Digital Images for Dermatologic Physical Examination
Kvedar, J. C. (1997) · Archives of Dermatology · doi:10.1001/archderm.1997.03890380031005 · Cited by 187 · see citing works
Diagnostic Accuracy and Image Quality Using a Digital Camera for Teledermatology
Krupinski, E. A., LeSueur, B., Ellsworth, L., Levine, N., Hansen, R., Silvis, N., Sarantopoulos, P., Hite, P., Wurzel, J., Weinstein, R. S., et al. (1999) · Telemedicine Journal · doi:10.1089/107830299312005 · Cited by 154 · see citing works
Teledermatology as a tool for communication between general practitioners and dermatologists
van den Akker, T. W., Reker, C. H. M., Knol, A., Post, J., Wilbrink, J., & van der Veen, J. P. W. (2001) · Journal of Telemedicine and Telecare · doi:10.1258/1357633011936390 · Cited by 70 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Telemedicine in dermatology: findings and experiences worldwide—a systematic literature review.
Trettel, A., Eissing, L., & Augustin, M. (2018) · Journal of the European Academy of Dermatology and Venereology · doi:10.1111/jdv.14341 · Cited by 206 · see citing works
Tran, K., Ayad, M., Weinberg, J., Cherng, A., Chowdhury, M., Monir, S., El Hariri, M., & Kovarik, C. (2011) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2010.01.010 · Cited by 111 · see citing works
Telemedicine in dermatology: a randomised controlled trial
Bowns, I., Collins, K., Walters, S., & McDonagh, A. (2006) · Health Technology Assessment · doi:10.3310/hta10430 · Cited by 109 · see citing works
Teledermatology: A Review of Reliability and Accuracy of Diagnosis and Management
S. Levin, Y., & Warshaw, E. M. (2009) · Dermatologic Clinics · doi:10.1016/j.det.2008.11.012 · Cited by 92 · see citing works
Frühauf, J., Hofman-Wellenhof, R., Kovarik, C., Mulyowa, G., Alitwala, C., Soyer, H., & Kaddu, S. (2013) · Acta Dermato-Venereologica · doi:10.2340/00015555-1404 · Cited by 37 · see citing works
Accuracy of store-and-forward diagnosis in leprosy
Trindade, M. Â. B., Wen, C. L., Neto, C. F., Escuder, M. M., Andrade, V. L. G., Yamashitafuji, T. M. T., & Manso, V. L. S. (2008) · Journal of Telemedicine and Telecare · doi:10.1258/jtt.2008.071203 · Cited by 29 · see citing works
A longitudinal study of consistency in diagnostic accuracy of teledermatology tools
Kanthraj, G. (2013) · Indian Journal of Dermatology, Venereology, and Leprology · doi:10.4103/0378-6323.116735 · Cited by 16 · see citing works
MEDICAL REGULATION AND HEALTH OUTCOMES: THE EFFECT OF THE PHYSICIAN EXAMINATION REQUIREMENT
Cotet, A. M., & Benjamin, D. K. (2013) · Health Economics · doi:10.1002/hec.2807 · Cited by 13 · see citing works
Diagnostic accuracy of teledermatology for skin diseases: a systematic review and meta-analysis
Martyin, K., Meznerics, F. A., Bokor, L. A., Szabó, B., Hegyi, P., Kiss, N., & Bánvölgyi, A. (2026) · Frontiers in Medicine · doi:10.3389/fmed.2026.1739592 · Cited by 4 · see citing works
- Authors
- Chao, L. W., Cestari, T. F., Bakos, L., Oliveira, M. R., Miot, H. A., Zampese, M., Andrade, C. B., & Böhm, G. M.
- Affiliations
- Universidade de São Paulo (BR)
- Universidade Federal do Rio Grande do Sul (BR)
- Venue
- Journal of Telemedicine and Telecare
- Publisher
- SAGE Publications
- Published
- 2003-06
- Volume
- 9
- Issue
- 1_suppl
- Pages
- 9-12
- ISSN
- 1357-633X (ISSN-L)
- 1758-1109
- OpenAlex
- W1983926355
- Cited by
- 49
- References
- 3
- Citations by year
- 2026: 1 · 2025: 2 · 2021: 2 · 2018: 4 · 2017: 3 · 2014: 2 · 2013: 4 · 2012: 3
- Type
- conference abstract
- Language
- en
- Open access
- closed
- Locations
- Journal of Telemedicine and Telecare (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Healthcare Systems and Technology
- Keywords
- teledermatology, internet-based telemedicine, dermatological diagnosis, digital images, drug interaction databases, diagnostic agreement, medical residents, public health services, disease surveillance
- MeSH terms
- Dermatology, Humans, Skin Diseases, Remote Consultation, Databases as Topic, Internet
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 ›
Are you an author, or do you see a problem with this page? Request a review