Technology is advancing at an extraordinary rate. Continuous flows of novel data are being generated with the potential to revolutionize how we better identify, treat, manage, and prevent disease across therapeutic areas. However, lack of security of confidence in digital health technologies is hampering adoption, particularly for biometric monitoring technologies (BioMeTs) where frontline healthcare professionals are struggling to determine which BioMeTs are fit-for-purpose and in which context. Here, we discuss the challenges to adoption and offer pragmatic guidance regarding BioMeTs, cumulating in a proposed framework to advance their development and deployment in healthcare, health research, and health promotion. Furthermore, the framework proposes a process to establish an audit trail of BioMeTs (hardware and algorithms), to instill trust amongst multidisciplinary users.

中文翻译：

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BioMeT 和算法挑战：提议的数字标准化评估框架

技术正以惊人的速度发展。不断产生新数据流，有可能彻底改变我们在治疗领域更好地识别、治疗、管理和预防疾病的方式。然而，对数字健康技术缺乏信心阻碍了采用，特别是对于生物识别监测技术 (BioMeT)，一线医疗保健专业人员正在努力确定哪些 BioMeT 适合用途以及在何种情况下。在这里，我们讨论了采用 BioMeT 的挑战，并提供有关 BioMeT 的实用指导，在提议的框架中进行积累，以推进其在医疗保健、健康研究和健康促进方面的开发和部署。此外，该框架提出了建立 BioMeT（硬件和算法）审计跟踪的流程，