Smuck Matthew, Odonkor Charles A, Wilt Jonathan K, Schmidt Nicolas, Swiernik Michael A
Division of Physical Medicine & Rehabilitation, Department of Orthopaedic Surgery, Stanford University, Stanford, CA, USA.
Department of Orthopaedics and Rehabilitation, Yale University School of Medicine, New Haven, CT, USA.
NPJ Digit Med. 2021 Mar 10;4(1):45. doi: 10.1038/s41746-021-00418-3.
Wearable technologies promise to redefine assessment of health behaviors, yet their clinical implementation remains a challenge. To address this gap, two of the NIH's Big Data to Knowledge Centers of Excellence organized a workshop on potential clinical applications of wearables. A workgroup comprised of 14 stakeholders from diverse backgrounds (hospital administration, clinical medicine, academia, insurance, and the commercial device industry) discussed two successful digital health interventions that involve wearables to identify common features responsible for their success. Seven features were identified including: a clearly defined problem, integration into a system of healthcare delivery, technology support, personalized experience, focus on end-user experience, alignment with reimbursement models, and inclusion of clinician champions. Health providers and systems keen to establish new models of care inclusive of wearables may consider these features during program design. A better understanding of these features is necessary to guide future clinical applications of wearable technology.
可穿戴技术有望重新定义健康行为评估，但它们在临床中的应用仍然是一项挑战。为了弥补这一差距，美国国立卫生研究院的两个大数据到知识卓越中心组织了一次关于可穿戴设备潜在临床应用的研讨会。一个由来自不同背景（医院管理、临床医学、学术界、保险和商业设备行业）的14名利益相关者组成的工作组讨论了两项涉及可穿戴设备的成功数字健康干预措施，以确定促成其成功的共同特征。确定了七个特征，包括：明确界定的问题、融入医疗服务体系、技术支持、个性化体验、关注最终用户体验、与报销模式一致以及有临床拥护者参与。渴望建立包含可穿戴设备的新型护理模式的医疗服务提供者和系统在项目设计过程中可以考虑这些特征。更好地理解这些特征对于指导可穿戴技术未来的临床应用是必要的。
