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美国远程皮肤病学的政策维度、监管环境和市场特征。

The policy dimensions, regulatory landscape, and market characteristics of teledermatology in the United States.

作者信息

Puri Pranav, Yiannias James A, Mangold Aaron R, Swanson David L, Pittelkow Mark R

机构信息

Department of Dermatology, Mayo Clinic, Scottsdale, Arizona.

出版信息

JAAD Int. 2020 Nov 6;1(2):202-207. doi: 10.1016/j.jdin.2020.09.004. eCollection 2020 Dec.

DOI:10.1016/j.jdin.2020.09.004
PMID:34409341
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8362249/
Abstract

The COVID-19 pandemic has spurred healthcare systems across the world to rapidly redesign their models of care delivery. As such, this pandemic has accelerated the adoption of teledermatology in the United States. However, it remains unknown whether this momentum will be maintained after the pandemic. The future of teledermatology in the United States will be significantly influenced by a complex set of policy, legal, and regulatory frameworks. An understanding of these frameworks will help dermatologists more effectively adopt and implement teledermatology platforms. In this article, we review the current state of teledermatology in the United States, including policy dimensions, the regulatory landscape, market characteristics, and future directions.

摘要

新冠疫情促使全球医疗系统迅速重新设计其护理模式。因此,这场疫情加速了美国远程皮肤病学的采用。然而,疫情过后这种势头是否会持续仍不明朗。美国远程皮肤病学的未来将受到一系列复杂的政策、法律和监管框架的显著影响。了解这些框架将有助于皮肤科医生更有效地采用和实施远程皮肤病学平台。在本文中,我们回顾了美国远程皮肤病学的现状,包括政策层面、监管环境、市场特征和未来发展方向。

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引用本文的文献

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The Impact of COVID-19 on Teledermatology: A Review.《COVID-19 对远程皮肤病学的影响:综述》。
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Teledermatology During COVID-19: An Updated Review.新冠疫情期间的远程皮肤病学:更新综述。
Am J Clin Dermatol. 2021 Jul;22(4):467-475. doi: 10.1007/s40257-021-00601-y. Epub 2021 Apr 9.

本文引用的文献

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Rapid Utilization of Telehealth in a Comprehensive Cancer Center as a Response to COVID-19: Cross-Sectional Analysis.综合癌症中心对COVID-19的应对:远程医疗的快速应用——横断面分析
J Med Internet Res. 2020 Jul 6;22(7):e19322. doi: 10.2196/19322.
2
Deep learning for dermatologists: Part II. Current applications.深度学习在皮肤科医生中的应用:第二部分。当前应用。
J Am Acad Dermatol. 2022 Dec;87(6):1352-1360. doi: 10.1016/j.jaad.2020.05.053. Epub 2020 May 16.
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Implications for Telehealth in a Postpandemic Future: Regulatory and Privacy Issues.疫情后时代远程医疗的影响:监管与隐私问题
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Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies.基于算法的智能手机应用程序评估成年人皮肤癌风险:诊断准确性研究的系统评价。
BMJ. 2020 Feb 10;368:m127. doi: 10.1136/bmj.m127.
5
Clinical effectiveness and cost-effectiveness of teledermatology: Where are we now, and what are the barriers to adoption?远程皮肤病学的临床效果和成本效益:我们现在在哪里,以及采用的障碍是什么?
J Am Acad Dermatol. 2020 Jul;83(1):299-307. doi: 10.1016/j.jaad.2020.01.065. Epub 2020 Feb 5.
6
Deep Learning for Automating the Organization of Institutional Dermatology Image Stores.用于自动整理机构皮肤科图像库的深度学习
Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:4479-4482. doi: 10.1109/EMBC.2019.8857086.
7
The growth of teledermatology: Expanding to reach the underserved.远程皮肤病学的发展:扩大服务范围,触达未满足需求的人群。
J Am Acad Dermatol. 2020 Apr;82(4):1025-1033. doi: 10.1016/j.jaad.2019.11.055. Epub 2019 Dec 4.
8
Improving Access to Care Through the Establishment of a Local, Teledermatology Network.通过建立本地远程皮肤病学网络改善医疗服务可及性。
Telemed J E Health. 2020 Jul;26(7):935-940. doi: 10.1089/tmj.2019.0051. Epub 2019 Oct 15.
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Artificial intelligence in dermatology: past, present, and future.皮肤科中的人工智能:过去、现在与未来。
Chin Med J (Engl). 2019 Sep 5;132(17):2017-2020. doi: 10.1097/CM9.0000000000000372.
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Artificial intelligence and dermatology: opportunities, challenges, and future directions.人工智能与皮肤病学:机遇、挑战及未来方向。
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