新的临床研究方法与技术

P. Moreira
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引用次数: 8

摘要

未来几年我们期待哪些类型的创新临床研究?四个主要趋势正在变得清晰。首先,我们将看到技术解决方案、应用程序和平台广泛用于支持试验设计。电子知情同意(eConsent)和基于网络的调查问卷是影响方法的两个新的试验要素。特别重要的是eConsent,用于确认参与者理解的患者注册数字同意流程,显着简化了临床研究的整体流程。第二个关键趋势是采用分散和混合临床研究设计。分散设计预计将降低研究成本,采用远程医疗将大大降低研究管理成本,并改善招募和参与者保留。第三个关键趋势是采用电子患者报告结果(ePRO),这是另一项与现实世界证据(RWE)和现实世界数据(RWD)的增长同时具有重要意义的技术,后者被更广泛地接受为方法。一个将变得普遍的程序是ePRO,允许患者使用与临床研究相关的电子设备完成并提交有关症状、副作用、药物时间等信息。第四个关键趋势将是采用人工智能(AI)、大数据、应用程序编程接口(api)和数字平台,有望改善患者选择,增强数据收集、整合和分析,同时减少时间,这种水平的数字化转型将改善临床前和临床研究。临床试验数据是多样和多模式的。它可以来自患者、临床医生、可穿戴设备等设备和其他来源。这是临床研究快速发展的关键变化,也将改变临床研究出版。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New Clinical Research Methods and Technologies
What types of innovative clinical studies are we expecting for the coming years? Four main trends are becoming clear. Firstly, we will see technological solutions, apps and platforms, becoming widely available to support trial designs. Electronic informed consent (eConsent) and web-based questionnaires are two new trial elements to influence methodologies. Especially relevant is that eConsent, the digital consent process for patient enrolment to confirm participant comprehension is significantly streamlining clinical research overall. A second key trend, is the adoption of decentralised and hybrid clinical research design. Decentralised designs are expected to reduce research costs and te adoption of telehealth will significantly reduce study administration costs, and improve recruitment and participant retention A third key trend is the adoption of electronic patient-reported outcome (ePRO), another technology that will gain significance in parallel to the growth of real-world evidence (RWE) and real-world data (RWD) which are more widely accepted as methodologies. One procedure that will become common being ePRO allowing patients to complete and submit information about symptoms, side effects, drug timing and more, using electronic devices related to clinical research. A fourth key trend, will be adoption of artificial intelligence (AI), Big Data, application programming interfaces (APIs) and digital platforms expected to improve patient selection, enhance data collection, integration and analysis, while at the same time reduce time, this level of digital transformation would improve both pre-clinical and clinical research. Clinical trial data is diverse and multi-modal. It can come from patients, clinicians, devices such as wearables and other sources. This being a key change in clinical research occurring at fast pace, will change clinical research publishing too.
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