Texas Children's Hospital and the Baylor College of Medicine, Houston, Texas, USA.
Curr Opin Pediatr. 2020 Dec;32(6):772-779. doi: 10.1097/MOP.0000000000000963.
Healthcare has already been impacted by the fourth industrial revolution exemplified by tip of spear technology, such as artificial intelligence and quantum computing. Yet, there is much to be accomplished as systems remain suboptimal, and full interoperability of digital records is not realized. Given the footprint of technology in healthcare, the field of clinical immunology will certainly see improvements related to these tools.
Biomedical informatics spans the gamut of technology in biomedicine. Within this distinct field, advances are being made, which allow for engineering of systems to automate disease detection, create computable phenotypes and improve record portability. Within clinical immunology, technologies are emerging along these lines and are expected to continue.
This review highlights advancements in digital health including learning health systems, electronic phenotyping, artificial intelligence and use of registries. Technological advancements for improving diagnosis and care of patients with primary immunodeficiency diseases is also highlighted.
以人工智能和量子计算为代表的第四次工业革命已经对医疗保健产生了影响。然而，由于系统仍不尽如人意，并且数字记录的完全互操作性尚未实现，还有很多工作要做。鉴于技术在医疗保健领域的影响力，临床免疫学领域肯定会看到与这些工具相关的改进。
生物医学信息学涵盖了生物医学领域的各种技术。在这个独特的领域中，正在取得进展，这些进展允许对系统进行工程设计，以自动检测疾病、创建可计算的表型并提高记录的可移植性。在临床免疫学中，这些方面正在出现新技术，并有望继续发展。
本综述重点介绍了数字健康领域的进展，包括学习健康系统、电子表型、人工智能和注册的使用。还强调了提高原发性免疫缺陷疾病患者诊断和护理水平的技术进步。
