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传感器数据集成:新的跨行业合作,旨在阐明价值、定义需求并推进最佳实践框架。

Sensor Data Integration: A New Cross-Industry Collaboration to Articulate Value, Define Needs, and Advance a Framework for Best Practices.

机构信息

Digital Medicine Society (DiMe), Boston, MA, United States.

HumanFirst, San Fransisco, CA, United States.

出版信息

J Med Internet Res. 2021 Nov 9;23(11):e34493. doi: 10.2196/34493.

Abstract

Data integration, the processes by which data are aggregated, combined, and made available for use, has been key to the development and growth of many technological solutions. In health care, we are experiencing a revolution in the use of sensors to collect data on patient behaviors and experiences. Yet, the potential of this data to transform health outcomes is being held back. Deficits in standards, lexicons, data rights, permissioning, and security have been well documented, less so the cultural adoption of sensor data integration as a priority for large-scale deployment and impact on patient lives. The use and reuse of trustworthy data to make better and faster decisions across drug development and care delivery will require an understanding of all stakeholder needs and best practices to ensure these needs are met. The Digital Medicine Society is launching a new multistakeholder Sensor Data Integration Tour of Duty to address these challenges and more, providing a clear direction on how sensor data can fulfill its potential to enhance patient lives.

摘要

数据集成是将数据聚合、组合并使其可供使用的过程,它是许多技术解决方案发展和成长的关键。在医疗保健领域,我们正在经历一场利用传感器收集患者行为和体验数据的革命。然而,这些数据改变健康结果的潜力却受到了阻碍。标准、词汇、数据权利、授权和安全方面的缺陷已经得到了充分的记录,但传感器数据集成作为大规模部署和对患者生活产生影响的优先事项的文化采用情况却鲜为人知。为了在药物开发和医疗服务提供中做出更好、更快的决策,使用和重复使用值得信赖的数据,需要了解所有利益相关者的需求和最佳实践,以确保这些需求得到满足。数字医学协会正在启动一项新的多方利益相关者传感器数据集成任务,以应对这些挑战和更多问题,为传感器数据如何发挥潜力改善患者生活提供明确的方向。

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