Research & Methods Core

项目摘要/摘要 Matches(使远程医疗在家中提供有效和安全的癌症护理)远程医疗研究 该中心旨在建立必要的证据基础，以建立远程医疗支持的癌症的最佳实践 关心。它将执行灵活、严格设计的临床试验，调查远程医疗是否以及如何能够 使更多的癌症护理能够安全、有效、公平地在患者家中提供。The Research& 方法核心(RMC)是帮助匹配研究的主题：专注于发展 集成来自异步和同步遭遇的复杂多级别数据流的方法 以评估远程保健的有效性和影响。具体地说，RMC将生成、改进、验证 并传播新的研究方法和成果措施，以评估肿瘤学中的远程保健， 包括基于数字捕获数据和电子患者报告结果的数字生物标记物。这些 这些活动将直接推动我们开发个性化癌症护理服务范例的目标。对这件事 目标是，RMC带来高水平的专业知识、强大的基础设施、广泛的资源和直接相关的 数据管理、混合方法研究、生物统计学、高级预测分析方面的经验(例如， 机器学习、人工智能)和临床试验设计。RMC将由凯瑟琳·帕纳吉亚斯领导， 他是一位生物统计学家，在试验设计和卫生服务研究方法方面拥有深厚的专业知识。她已经领导了 多个大型项目的统计协调中心，包括临床试验和癌症控制研究， 并评估了复杂的护理提供创新。RMC的目标是：1)提供高质量的数据 管理远程保健研究方法的发展，2)提供方法学和 对集群随机实用试验和评估MSK@Home的试点研究的生物统计学支持， 3)开发和应用新的统计和研究方法，以帮助评估远程保健支持的癌症 护理提供研究和职业生涯早期调查人员这些方法的培训，以及4)传播数据， 知识和资源，通过用户友好的开源算法加速更广泛的实施 支持远程医疗的家庭护理。RMC将开发一个框架来处理和分析 在远程医疗支持的癌症护理背景下产生的多个数据流，以及发挥关键作用 审查和评价该中心的研究进展。它还将支持务实的审判和 进行试点研究，并牵头选择和部署进一步的远程保健试点项目。RMC将会工作 与行政核心火柴灯训练股密切合作，培训初级调查人员进行研究 推动远程医疗研究的方法，以推动个性化、公平和高效的肿瘤学护理和 研究。

PROJECT SUMMARY/ABSTRACT The MATCHES (Making Telehealth Delivery of Cancer Care at Home Effective and Safe) Telehealth Research Center aims to build the evidence base necessary to establish best practices for telehealth-supported cancer care. It will execute nimble, rigorously designed clinical trials investigating whether and how telehealth can enable more cancer care to be safely, effectively, and equitably provided in patients’ homes. The Research & Methods Core (RMC) is instrumental to the MATCHES research theme: focusing on the development of methods to integrate complex streams of multi-level data from asynchronous and synchronous encounters so as to evaluate the effectiveness and impact of telehealth. Specifically, the RMC will generate, refine, validate, and disseminate novel research methods and outcome measures for the evaluation of telehealth in oncology, including digital biomarkers based on digitally captured data and electronic patient-reported outcomes. These activities will directly advance our goal of developing a paradigm for personalized cancer care delivery. To this goal, the RMC brings high-level expertise, strong infrastructure, extensive resources, and immediately relevant experience in data management, mixed-methods research, biostatistics, advanced predictive analytics (e.g., machine learning, artificial intelligence), and clinical trial design. The RMC will be led by Katherine Panageas, DrPH, a biostatistician with deep expertise in trial design and health services research methods. She has led statistical coordinating centers for multiple large projects, including clinical trials and cancer control studies, and has evaluated complex care delivery innovations. The aims of the RMC are: 1) to provide high-quality data management for the development of research methods in telehealth, 2) to provide methodological and biostatistical support for the cluster-randomized Pragmatic Trial and for pilot studies evaluating MSK@Home, 3) to develop and apply novel statistical and research methods to aid evaluation of telehealth-supported cancer care delivery research and to train early-career investigators in these methods, and 4) to disseminate data, knowledge, and resources via user-friendly, open-source algorithms to accelerate broader implementation of telehealth-enabled home-based care. The RMC will develop a framework for processing and analyzing the multiple data streams generated in the context of telehealth-supported cancer care, as well as play a key role in reviewing and evaluating the research progress of the Center. It will also support the Pragmatic Trial and pilot studies and lead the selection and deployment of further telehealth pilot projects. The RMC will work closely with the MATCH-Light Training Unit of the Administrative Core to train junior investigators in research methods to advance telehealth research to drive personalized, equitable, and efficient oncology care and research.