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新冠疫情期间及之后欧洲的智能电子皮肤癌护理:多学科专家共识

Smart e-Skin Cancer Care in Europe During and after the Covid-19 Pandemic: a Multidisciplinary Expert Consensus.

作者信息

Malvehy Josep, Dreno Brigitte, Barba Enric, Dirshka Thomas, Fumero Emilio, Greis Christian, Gupta Girish, Lacarrubba Francesco, Micali Giuseppe, Moreno David, Pellacani Giovanni, Sampietro-Colom Laura, Stratigos Alexander, Puig Susanna

机构信息

Dermatology Department. Hospital Clinic of Barcelona, Spain.

University of Barcelona, Barcelona, Spain. Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain. Biomedical Research Networking Centre on Rare Diseases (CIBERER), ISCIII, Barcelona, Spain.

出版信息

Dermatol Pract Concept. 2023 Jul 1;13(3):e2023181. doi: 10.5826/dpc.1303a181.

DOI:10.5826/dpc.1303a181
PMID:37557116
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10412091/
Abstract

INTRODUCTION

Melanoma is the deadliest of all the skin cancers and its incidence is increasing every year in Europe. Patients with melanoma often present late to the specialist and treatment is delayed for many reasons (delay in patient consultation, misdiagnosis by general practitioners, and/or limited access to dermatologists). Beyond this, there are significant inequalities in skin cancer between population groups within the same country and between countries across Europe. The emergence of the COVID-19 pandemic only aggravated these health deficiencies.

OBJECTIVES

The aim was to create an expert opinion about the challenges in skin cancer management in Europe during the post COVID-19 acute pandemic and to identify and discuss the implementation of new technologies (including e-health and artificial intelligence defined as "Smart Skin Cancer Care") to overcome them.

METHODS

For this purpose, an ad-hoc questionnaire with items addressing topics of skin cancer care was developed, answered independently and discussed by a multidisciplinary European panel of experts comprising dermatologists, dermato-oncologists, patient advocacy representatives, digital health technology experts, and health technology assessment experts.

RESULTS

After all panel of experts discussions, a multidisciplinary expert opinion was created.

CONCLUSIONS

As a conclusion, the access to dermatologists is difficult and will be aggravated in the near future. This fact, together with important differences in Skin Cancer Care in Europe, suggest the need of a new approach to skin health, prevention and disease management paradigm (focused on integration of new technologies) to minimize the impact of skin cancer and to ensure optimal quality and equity.

摘要

引言

黑色素瘤是所有皮肤癌中最致命的一种,在欧洲其发病率逐年上升。黑色素瘤患者往往很晚才去看专科医生,由于多种原因治疗被延误(患者就诊延迟、全科医生误诊和/或看皮肤科医生的机会有限)。除此之外,在同一个国家内不同人群之间以及欧洲各国之间,皮肤癌存在显著的不平等现象。新冠疫情的出现只会加剧这些健康缺陷。

目的

目的是就新冠疫情后欧洲皮肤癌管理面临的挑战形成专家意见,并识别和讨论新技术(包括电子健康和定义为“智能皮肤癌护理”的人工智能)的实施以克服这些挑战。

方法

为此,编制了一份专门的问卷,其中的项目涉及皮肤癌护理主题,由一个多学科的欧洲专家小组独立回答并进行讨论,该小组包括皮肤科医生、皮肤肿瘤学家、患者权益代表、数字健康技术专家和卫生技术评估专家。

结果

经过所有专家小组的讨论,形成了一份多学科专家意见。

结论

总之,看皮肤科医生困难,且在不久的将来这种情况还会加剧。这一事实,连同欧洲皮肤癌护理方面的重大差异,表明需要一种新的皮肤健康、预防和疾病管理模式(侧重于新技术的整合),以尽量减少皮肤癌的影响,并确保最佳质量和公平性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/47ba/10412091/6e33130ea01a/dp1303a181g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/47ba/10412091/b9851f4cba6d/dp1303a181g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/47ba/10412091/6e33130ea01a/dp1303a181g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/47ba/10412091/b9851f4cba6d/dp1303a181g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/47ba/10412091/6e33130ea01a/dp1303a181g002.jpg

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2
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J Eur Acad Dermatol Venereol. 2021 Dec;35(12):e836-e837. doi: 10.1111/jdv.17552. Epub 2021 Aug 12.
3
Digital Health Solutions to Control the COVID-19 Pandemic in Countries With High Disease Prevalence: Literature Review.
数字健康解决方案在高疾病流行国家控制 COVID-19 大流行:文献综述。
J Med Internet Res. 2021 Mar 10;23(3):e19473. doi: 10.2196/19473.
4
Perceptions of Digital Health Education Among European Medical Students: Mixed Methods Survey.欧洲医学生对数字健康教育的认知:混合方法调查。
J Med Internet Res. 2020 Aug 14;22(8):e19827. doi: 10.2196/19827.
5
Human-computer collaboration for skin cancer recognition.人机协作进行皮肤癌识别。
Nat Med. 2020 Aug;26(8):1229-1234. doi: 10.1038/s41591-020-0942-0. Epub 2020 Jun 22.
6
Deep learning for dermatologists: Part I. Fundamental concepts.深度学习在皮肤科医生中的应用:第一部分。基础概念。
J Am Acad Dermatol. 2022 Dec;87(6):1343-1351. doi: 10.1016/j.jaad.2020.05.056. Epub 2020 May 17.
7
A deep learning system for differential diagnosis of skin diseases.深度学习系统用于皮肤病的鉴别诊断。
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8
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