Dermatologist Perceptions of Teledermatology Implementation and Future Use After COVID-19

Abstract

Teledermatology is an effective method for delivering health care, with strong evidence supporting its use, yet barriers have stalled implementation, including lack of reimbursement, liability concerns, and licensing restrictions. 1,2 The coronavirus disease 2019 (COVID-19) pandemic crisis led to rapid adoption of telemedicine to continue care while minimizing in-person contact. 3 Historically, most teledermatology studies have focused on store-and-forward models, whereas during the COVID-19 pandemic, regulatory changes from the US Centers for Medicare and Medicaid Services prompted an increase in live-interactive video visits. These changes granted parity in reimbursements between video and in-person visits, removing eligibility and geographic restrictions. 4,5 We sought to assess dermatologists' perceptions of and experiences with teledermatology in the context of the COVID-19 pandemic and these new changes.Methods | In May and June 2020, an American Academy of Dermatology (AAD) Teledermatology Task Force subgroup surveyed AAD members regarding the effects of COVID-19 on teledermatology. Topics included modes used; situational appropriateness; and opinions regarding reimbursement, perceived need, barriers, and anticipated future use. Questions were tested for face validity and readability and approved by the Task Force and AAD representatives (see Supplement for detailed methods). The AAD administered the survey via email, collected and maintained data, and provided deidentified data for analysis. Participant representativeness based on age, sex,

Characteristics of publicly available skin cancer image datasets: a systematic review

“…[17][18][19][20][21] Digital solutions to address this demand have been reflected by accelerated teledermatology adoption during the COVID-19 pandemic. 22,23 Machine learning algorithms have potential for automated diagnosis of skin mali gnancies through digital image analysis, and diagnostic accuracy of machine learning algorithms has been shown in the past 5 years to be comparable to, or even surpass, dermatologists in controlled experimental settings. [4][5][6][7][8][9] Publicly available skin image datasets, such as those hosted through the International Skin Imaging Collaboration (ISIC) archive, 13 are increasingly used to develop machine learning algorithms for skin cancer diagnosis.…”

Dermatologiya i telemedicina: celi, preimushchestva i nedostatki

“…При опросе в мае и июне 2020 г. 591 практикующего дерматолога -члена AAD (American Academy of Dermatology) относительно влияния пандемии на ТД было выявлено, что ТД до пандемии использовали только 14,1% респондентов, а с началом COVID-19 -96,9%; 58,0% дерматологов предположили, что ТД будут использовать в дальнейшем вне зависимости от эпидемиогической ситуации; 72,0% врачей оценили гибридное консультирование как наиболее точное [3].…”

Quoi de neuf en dermatologie clinique ?

“…En conclusion, les pratiques en dermatologie évoluent rapidement avec l’introduction de la téléconsultation qui s’est intensément développée en 2020 et 2021, avec une bonne adhésion des dermatologues [ 99 ]. La téléconsultation et la téléexpertise permettent de limiter les contacts lors de la pandémie, et de pallier les difficultés d’accès à une consultation face à face.…”