Suppr超能文献

将社交媒体融入现代肿瘤学实践与研究

Integrating Social Media in Modern Oncology Practice and Research.

作者信息

Sedrak Mina S, Attai Deanna J, George Kevin, Katz Matthew S, Markham Merry Jennifer

机构信息

From the Department of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Medical Center, Duarte, CA; Department of Surgery, David Geffen School of Medicine at University of California Los Angeles, CA; Department of Medical Oncology and Therapeutics Research, City of Hope Comprehensive Cancer Center, Duarte, CA; Department of Radiation Medicine, Lowell General Hospital, MA; Division of Hematology and Oncology, Department of Medicine, University of Florida College of Medicine, Gainesville, FL.

出版信息

Am Soc Clin Oncol Educ Book. 2018 May 23;38:894-902. doi: 10.1200/EDBK_204453.

Abstract

The widespread adoption and diffusion of social media provides oncology professionals with a unique and unprecedented opportunity to engage with the public. However, there remains a paucity of literature examining how clinicians and researchers can effectively use social media to complement modern oncology practice and research. In this review, we dissect the benefits and risks of professional social media use in oncology and offer several best practices for clinicians and researchers to achieve effective engagement. We also describe how to participate constructively in Twitter conversations at the time of medical or scientific conferences. Additionally, we demonstrate how to communicate appropriately and safely with patients and families online. Finally, we explore the exciting and nascent field of social media research and highlight the need to investigate its potential value in personalized cancer medicine.

摘要

社交媒体的广泛采用和传播为肿瘤学专业人员提供了一个与公众互动的独特且前所未有的机会。然而,关于临床医生和研究人员如何有效利用社交媒体来补充现代肿瘤学实践和研究的文献仍然匮乏。在本综述中,我们剖析了肿瘤学中专业使用社交媒体的益处和风险,并为临床医生和研究人员提供了一些实现有效互动的最佳实践。我们还描述了在医学或科学会议期间如何建设性地参与推特对话。此外,我们展示了如何在网上与患者及家属进行恰当且安全的沟通。最后,我们探索社交媒体研究这个令人兴奋的新兴领域,并强调有必要研究其在个性化癌症医学中的潜在价值。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验