Accelerating the Continuous Improvement of Connected Medical Devices Using Product Analytics

Randy Horton, Bob Moll, K. Yew
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Abstract

Data acquisition on how users are using your product can often be slow to obtain and not lend itself to large-scale deployments or fast release updates. Product analytics is an integrated set of data about your users’ behaviors that allows you to analyze these behaviors, both at the level of the individual user and in aggregate, to gain insights about larger patterns and trends in real time. The use of product analytics in MedTech is still nascent but holds tremendous promise to help turbocharge an evolution towards the frequent release of medical devices. In the context of Software as a Medical Device (SaMD), digital therapeutics (DTx), and other types of connected medical devices, product analytics adds value in three different areas: device design and development, device operations and end-user support, and helping users better use their device and improve their health outcomes.
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使用产品分析加速互联医疗设备的持续改进
关于用户如何使用您的产品的数据获取通常很慢,而且不适合大规模部署或快速发布更新。产品分析是关于用户行为的一组集成数据,允许您在单个用户和总体用户的层面上分析这些行为,以实时获得更大的模式和趋势的见解。在医疗技术领域,产品分析的使用仍处于初期阶段,但它有望推动医疗设备频繁发布的发展。在软件即医疗设备(SaMD)、数字治疗(DTx)和其他类型的互联医疗设备的背景下,产品分析在三个不同的领域增加了价值:设备设计和开发、设备运营和最终用户支持,以及帮助用户更好地使用他们的设备并改善他们的健康结果。
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