The Practice of Teledermatology Before, During, and After the COVID-19 Pandemic
Notice bibliographique
Résumé
Background Since the beginning of the COVID-19 pandemic, the use of telemedicine has quickly expanded in many countries as clinical frameworks have been forced to shift to virtual platforms to guarantee the safety of patients and staff. Teledermatology, specifically, is well-suited for telemedicine, with evidence supporting its viability, even-handed quality and precision, and cost adequacy in comparison to in-person visits. Teledermatology holds extraordinary potential for expanding access to patients and guaranteeing coherence of care, especially for those from rural and underserved regions. Objective The aim of this research is to study the practice of teledermatology before, during, and after the COVID-19 pandemic. Methods A literature search using the following keywords was done: online consultations, teledermatology, post-covid. Reports from integrated health care companies (eg, Practo) were also considered. Results According to the reports, Indians consulted physicians 10 times more during the second wave (April to May 2021) of the pandemic than in pre–COVID-19 times (January to February 2020). India experienced a record 30-fold spike in web-based physician consultations for COVID-19–related symptoms during this time, as compared to a 6-fold increase during the previous peak. More than 50% of all web-based consultations were for pulmonologists and general physicians for queries related to COVID-19 and the seasonal flu. Other key specialties that were consulted during this period included gynecology (10%), dermatology (8%), and pediatrics (5%). The demand for general physicians and pulmonologists was at an all-time high, according to the data. Cutaneous manifestations were varied, and included urticaria, varicella-like vesicles, transient livedoid eruptions, livedoid vasculopathy, purpuric eruptions, lichenoid photodermatitis, erythroderma, photocontact dermatitis, and generalized pustular figurate erythema. Conclusions Continued advocacy efforts and future studies highlighting teledermatology’s impact, particularly on minorities, underserved patient populations, and in resource-poor settings, are critical for long-term legislative changes to occur and to provide coverage to our most vulnerable patients. This presentation underscores the state of teledermatology prior to the pandemic, the legal statutory changes that permitted teledermatology to rapidly expand during the pandemic, and the significance of continued work after the pandemic. In short, the interruption of everyday life worldwide caused by SARS-CoV-2 has demonstrated that our method of practicing medicine needs reexamining. Conflicts of Interest None declared.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».