Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49532, first published .
Implementation of Teledermatology for Veterans in the United States

Implementation of Teledermatology for Veterans in the United States

Implementation of Teledermatology for Veterans in the United States

Authors of this article:

Dennis Oh 1, 2 Author Orcid Image

Abstract

1Dermatology Research Unit, San Francisco VA Health Care System, San Francisco, CA, United States

2Department of Dermatology, University of California, San Francisco, CA, United States

Corresponding Author:

Dennis Oh, MD, PhD

Dermatology Research Unit

San Francisco VA Health Care System

4150 Clement Street

San Francisco, CA,

United States

Phone: 1 415 750 2091

Email: Dennis.Oh@va.gov


The US Department of Veterans Affairs (VA) has adopted teledermatology, predominantly asynchronous, as an important strategy for improving access to expert skin care for its 9 million enrolled veteran patients. Despite the measurable success of its teledermatology program, one-fifth of all points of care have yet to implement teledermatology. The application of implementation science approaches offers the opportunity to systematically understand the VA’s teledermatology experience to yield insights into and lessons for implementing teledermatology widely as well as locally. Implementation frameworks and theories include the use of the Organizational Readiness for Change instrument as a prognosticator for implementation success, as well as the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework to assess the longitudinal implementation of a teledermatology initiative for rural veterans. Development and implementation of novel technological innovations that introduce new teledermatology workflows into mature teledermatology environments were analyzed during the COVID-19 pandemic.

Conflicts of Interest: None declared.

iproc 2023;9:e49532

doi:10.2196/49532

Keywords


Edited by A Oakley; submitted 31.05.23; peer-reviewed by I Lee; accepted 26.07.23; published 01.08.23.

Copyright

©Dennis Oh. Originally published in Iproceedings (https://www.iproc.org), 01.08.2023.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in Iproceedings, is properly cited. The complete bibliographic information, a link to the original publication on https://www.iproc.org/, as well as this copyright and license information must be included.