Garg Shivank, Williams Noelle L, Ip Andrew, Dicker Adam P
Shivank Garg, Noelle L. Williams, and Adam P. Dicker, Sidney Kimmel Medical College at Thomas Jefferson University Philadelphia, PA; and Andrew Ip, Winship Cancer Institute at Emory University, Atlanta, GA.
JCO Clin Cancer Inform. 2018 Dec;2:1-9. doi: 10.1200/CCI.17.00159.
Digital health constitutes a merger of both software and hardware technology with health care delivery and management, and encompasses a number of domains, from wearable devices to artificial intelligence, each associated with widely disparate interaction and data collection models. In this review, we focus on the landscape of the current integration of digital health technology in cancer care by subdividing digital health technologies into the following sections: connected devices, digital patient information collection, telehealth, and digital assistants. In these sections, we give an overview of the potential clinical impact of such technologies as they pertain to key domains, including patient education, patient outcomes, quality of life, and health care value. We performed a search of PubMed ( www.ncbi.nlm.nih.gov/pubmed ) and www.ClinicalTrials.gov for numerous terms related to digital health technologies, including digital health, connected devices, smart devices, wearables, activity trackers, connected sensors, remote monitoring, electronic surveys, electronic patient-reported outcomes, telehealth, telemedicine, artificial intelligence, chatbot, and digital assistants. The terms health care and cancer were appended to the previously mentioned terms to filter results for cancer-specific applications. From these results, studies were included that exemplified use of the various domains of digital health technologies in oncologic care. Digital health encompasses the integration of a vast array of technologies with health care, each associated with varied methods of data collection and information flow. Integration of these technologies into clinical practice has seen applications throughout the spectrum of care, including cancer screening, on-treatment patient management, acute post-treatment follow-up, and survivorship. Implementation of these systems may serve to reduce costs and workflow inefficiencies, as well as to improve overall health care value, patient outcomes, and quality of life.
数字健康是软件和硬件技术与医疗保健提供和管理的融合，涵盖从可穿戴设备到人工智能等多个领域，每个领域都与截然不同的交互和数据收集模式相关联。在本综述中，我们通过将数字健康技术细分为以下几个部分，重点关注数字健康技术在癌症护理中当前的整合情况：连接设备、数字患者信息收集、远程医疗和数字助理。在这些部分中，我们概述了这些技术在关键领域（包括患者教育、患者结局、生活质量和医疗保健价值）方面的潜在临床影响。我们在PubMed（www.ncbi.nlm.nih.gov/pubmed）和www.ClinicalTrials.gov上搜索了与数字健康技术相关的众多术语，包括数字健康、连接设备、智能设备、可穿戴设备、活动追踪器、连接传感器、远程监测、电子调查、电子患者报告结局、远程医疗、远程医学、人工智能、聊天机器人和数字助理。将“医疗保健”和“癌症”这两个术语附加到上述术语中，以筛选针对癌症特定应用的结果。从这些结果中，纳入了举例说明数字健康技术各个领域在肿瘤护理中应用的研究。数字健康包括将大量技术与医疗保健整合，每种技术都与不同的数据收集方法和信息流相关联。这些技术在临床实践中的整合已在整个护理范围内得到应用，包括癌症筛查、治疗期间的患者管理、急性治疗后随访和生存。实施这些系统可能有助于降低成本和工作流程效率低下的问题，以及提高整体医疗保健价值、患者结局和生活质量。
