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真实世界时间数据与随机对照试验协同作用:通过数字创新推动个性化医疗和肉瘤护理。

Real-World-Time Data and RCT Synergy: Advancing Personalized Medicine and Sarcoma Care through Digital Innovation.

作者信息

Heesen Philip, Schelling Georg, Birbaumer Mirko, Jäger Ruben, Bode Beata, Studer Gabriela, Fuchs Bruno

机构信息

Faculty of Health Sciences & Medicine, University of Lucerne, Frohburgstrasse 3, 6002 Luzern, Switzerland.

Sarcoma Service, Department of Orthopedics and Trauma, Sarcoma Center, LUKS University Hospital, 6000 Lucerne, Switzerland.

出版信息

Cancers (Basel). 2024 Jul 11;16(14):2516. doi: 10.3390/cancers16142516.

DOI:10.3390/cancers16142516
PMID:39061155
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11274374/
Abstract

This manuscript examines the synergistic potential of prospective real-world/time data/evidence (RWTD/E) and randomized controlled trials (RCTs) to enrich healthcare research and operational insights, with a particular focus on its impact within the sarcoma field. Through exploring RWTD/E's capability to provide real-world/time, granular patient data, it offers an enriched perspective on healthcare outcomes and delivery, notably in the complex arena of sarcoma care. Highlighting the complementarity between RWTD/E's expansive real-world/time scope and the structured environment of RCTs, this paper showcases their combined strength, which can help to foster advancements in personalized medicine and population health management, exemplified through the lens of sarcoma treatment. The manuscript further outlines methodological innovations such as target trial emulation and their significance in enhancing the precision and applicability of RWTD/E, underscoring the transformative potential of these advancements in sarcoma care and beyond. By advocating for the strategic incorporation of prospective RWTD/E into healthcare frameworks, it aims to create an evidence-driven ecosystem that significantly improves patient outcomes and healthcare efficiency, with sarcoma care serving as a pivotal domain for these developments.

摘要

本手稿探讨了前瞻性真实世界/时间数据/证据(RWTD/E)与随机对照试验(RCT)在丰富医疗保健研究和运营见解方面的协同潜力,特别关注其在肉瘤领域的影响。通过探索RWTD/E提供真实世界/时间、详细患者数据的能力,它为医疗保健结果和服务提供了更丰富的视角,尤其是在复杂的肉瘤护理领域。本文强调了RWTD/E广阔的真实世界/时间范围与RCT结构化环境之间的互补性,展示了它们的综合优势,这有助于推动个性化医疗和人群健康管理的进步,以肉瘤治疗为例进行了说明。手稿进一步概述了目标试验模拟等方法创新及其在提高RWTD/E的准确性和适用性方面的意义,强调了这些进展在肉瘤护理及其他领域的变革潜力。通过倡导将前瞻性RWTD/E战略性地纳入医疗保健框架,其旨在创建一个以证据为驱动的生态系统,显著改善患者结局和医疗保健效率,肉瘤护理是这些发展的关键领域。

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2
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3
Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives.人工智能在医疗保健领域的变革潜力:定义、应用以及应对伦理格局和公众观点
Healthcare (Basel). 2024 Jan 5;12(2):125. doi: 10.3390/healthcare12020125.
4
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5
Harnessing oncology real-world data with AI.利用人工智能处理肿瘤学真实世界数据。
Nat Cancer. 2023 Dec;4(12):1627-1629. doi: 10.1038/s43018-023-00689-7.
6
Wearable Digital Health Technology.可穿戴数字健康技术。
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