Mathias Rebecca, Schonfelder Anett, Welzel Cindy, Gilbert Stephen
Else Kröner Fresenius Center for Digital HealthTUD Dresden University of Technology Dresden 01307 Germany.
IEEE J Transl Eng Health Med. 2025 Mar 31;13:214-215. doi: 10.1109/JTEHM.2025.3557508. eCollection 2025.
Digital health and AI-enabled technologies hold the promise of addressing gaps in healthcare, but balancing rapid market access with the need for safe, functional, and user-centered solutions remains a challenge [1], [2]. Regulatory requirements for device development and market approval demand detailed documentation and predetermined protocols, which can limit the adaptability developers require for iterative improvement and real-world testing with patients and healthcare professionals [1], [3], [4]-an approach that would be highly beneficial for digital and AI-enabled technologies. As a result, key factors like clinical workflow integration, interoperability, and usability with the real range of in-use devices are often overlooked or addressed in a cursory fashion [5].
数字健康和人工智能技术有望弥补医疗保健领域的差距,但在快速进入市场与对安全、实用且以用户为中心的解决方案的需求之间取得平衡仍然是一项挑战[1],[2]。设备开发和市场批准的监管要求需要详细的文档和预先确定的协议,这可能会限制开发人员进行迭代改进以及与患者和医疗保健专业人员进行实际测试所需的适应性[1],[3],[4],而这种方法对数字和人工智能技术将非常有益。因此,诸如临床工作流程整合、互操作性以及与实际使用的各种设备的可用性等关键因素常常被忽视或以敷衍的方式处理[5]。