Please login or create an account. If you do not have access to this content, you will be shown a 30 second preview and licensing options.

  • Presentation

Teledermatology: Defining the Future of Dermatological Care

Description

Dr. George Han, president of the New York Society of Dermatology, presented insights into teledermatology and its evolving role in dermatological care amidst technological advancements. He raised concerns about the current inadequacies in teledermatology, particularly during the pandemic when many transitioned to virtual consultations. Dr. Han emphasized the necessity of high-quality images over video consultations mandated by billing regulations, which often fail to capture necessary details for diagnoses. He described the challenges faced, including financial implications of reduced telederm services and a lack of integration within existing healthcare systems, illustrating how many dermatologists returned to traditional practices post-pandemic.



Dr. Han proposed a decentralized and distributed model for dermatology, leveraging teledermatology clinics to expand access to underserved areas. He addressed how artificial intelligence (AI) is reshaping the field, emphasizing the need for dermatologists to maintain control over patient care amid growing discussions about AI's potential to prescribe treatments. AI can aid in access for rural populations and enhance clinical trials through remote monitoring. He advised leveraging asynchronous care models to improve efficiency and better manage patient wait times. Ultimately, Dr. Han called for dermatologists to engage proactively in the teledermatology conversation, urging the community to adopt innovative solutions that enhance patient access and care outcomes.

View more

Conclusions

  • Teledermatology has the potential to improve access to care, especially for underserved populations.
  • Current teledermatology practices face challenges with reduced income and inadequate reimbursements compared to in-person visits.
  • There is a need to develop a more efficient teledermatology model that leverages technology for better patient outcomes.
  • The introduction of AI may help prioritize care for patients who actually need specialist attention and improve diagnostic accuracy.
  • Distributed networks in dermatology can facilitate better resource allocation and widen access to specialists.
  • Asynchronous care models have shown that they can achieve comparable outcomes to in-person visits, enhancing efficiency in managing conditions like psoriasis.
  • Collaboration between dermatologists and primary care providers through AI-assisted tools can enhance diagnostic capabilities and reduce wait times for patient care.
  • Yuan Liu01, Ayush Jain1, Clara Eng1, David H. Way1, Kang Lee1, Peggy Bui1,2, Kimberly Kanada3, Guilherme de Oliveira Marinho4, Jessica Gallegos1, Sara Gabriele1, Vishakha Gupta1, Nalini Singh1,5, Vivek Natarajan1, Rainer Hofmann-Wellenhof6, Greg S. Corrado1, Lily H. Peng1, Dale R. Webster1, Dennis Ai1, Susan J. Huang3, Yun Liu153, R. Carter Dunn1,7 and David Coz1,7. A deep learning system for differential diagnosis of skin diseases. https://doi.org/10.1038/s41591-020-0842-3
  • Scott A. Norton, MD, MPH; Anne E. Burdick, MD, MPH; Charles M. Phillips, MD; et al. Teledermatology and Underserved Populations. Arch Dermatol. 1997;133(2):197-200. doi:10.1001/archderm.1997.03890380069010