Digital health solutions, with apps, virtual care, and electronic medical records, are gaining momentum across all medical disciplines, and their adoption has been accelerated, in part, by the COVID-19 pandemic. Personal wearables, sensors, and mobile technologies are increasingly being used to identify health risks and assist in diagnosis, treatment, and monitoring of health and disease. Genomics is a vanguard of digital healthcare as we witness a convergence of the fields of genomic and digital medicine. Spurred by the acute need to increase health literacy, empower patients’ preference-sensitive decisions, or integrate vast amounts of complex genomic data into the clinical workflow, there has been an emergence of digital support tools in genomics-enabled care. We present three use cases that demonstrate the application of these converging technologies: digital genomics decision support tools, conversational chatbots to scale the genetic counseling process, and the digital delivery of comprehensive genetic services. These digital solutions are important to facilitate patient-centered care delivery, improve patient outcomes, and increase healthcare efficiencies in genomic medicine. Yet the development of these innovative digital genomic technologies also reveals strategic challenges that need to be addressed before genomic digital health can be broadly adopted. Alongside key evidentiary gaps in clinical and cost-effectiveness, there is a paucity of clinical guidelines, policy, and regulatory frameworks that incorporate digital health. We propose a research agenda, guided by learning healthcare systems, to realize the vision of digital health-enabled genomics to ensure its sustainable and equitable deployment in clinical care.

具有应用程序、虚拟护理和电子病历的数字健康解决方案在所有医学学科中都获得了发展势头，并且在一定程度上由于 COVID-19 大流行而加速了它们的采用。个人可穿戴设备、传感器和移动技术越来越多地用于识别健康风险并协助诊断、治疗和监测健康和疾病。基因组学是数字医疗保健的先锋，因为我们见证了基因组学和数字医学领域的融合。在提高健康素养、赋予患者偏好敏感决策权或将大量复杂基因组数据整合到临床工作流程中的迫切需求的推动下，基因组学支持的护理中出现了数字支持工具。我们提出了三个用例来展示这些融合技术的应用：数字基因组学决策支持工具、用于扩展遗传咨询过程的会话聊天机器人以及综合遗传服务的数字交付。这些数字解决方案对于促进以患者为中心的护理服务、改善患者结果以及提高基因组医学的医疗保健效率非常重要。然而，这些创新数字基因组技术的发展也揭示了在广泛采用基因组数字健康之前需要解决的战略挑战。除了临床和成本效益方面的关键证据差距外，还缺乏包含数字健康的临床指南、政策和监管框架。我们提出了一个研究议程，以学习医疗保健系统为指导，