Challenges for Telehealth and Artificial Intelligence in Healthcare (AI)

  • Dermatology has been among the first in generating evidence and a robust evidence base for Telehealth to:
    • develop technology and innovation
    • increase access and appropriateness
    • to measure outcomes.
  • However, there remains a research gap when it comes to:
    • expenditure
    • studies on utilization.
  • The knowledge of these above 2 shortfalls helps shape the policy agenda, to increase the use of Telehealth (and Teledermatology) by specifically addressing disparities in terms of:
    • access
    • cost
    • reimbursement
    • fraud and abuse.
  • The addressed above policy agenda points help shape how telehealth will be implemented in a sustainable way after the COVID-19 pandemic.
  • This discussion also applies to AI which also need to go beyond the development of a technology.

Note that the presenter has used the concept of Augmented Intelligence instead of Artificial Intelligence. Please refer to the introductory article of this term.

Ivy Lee, MD. Augmented Artificial Intelligence in Dermatology. Core concepts and clinical decision making. 8th World Congress of Teledermatology, Skin Imaging and AI in Skin diseases – November 2020


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