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IoT and Lifecycle Analytics for Medical Devices

Leverage the Internet of Things to achieve agility, speed, quality and compliance at your medical device organization. Combine information from your devices, the “physical twins,” with engineering insight contained within the PLM system, the “digital twins,” to provide the insight needed to improve device availability and performance.

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IoT and Lifecycle Analytics for Medical Devices

Leverage the Internet of Things to achieve agility, speed, quality and compliance at your medical device organization. Combine information from your devices, the “physical twins,” with engineering insight contained within the PLM system, the “digital twins,” to provide the insight needed to improve device availability and performance.

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IoT and Lifecycle Analytics for Medical Devices
IoT and Lifecycle Analytics for Medical Devices
IoT and Lifecycle Analytics for Medical Devices

The need for agility, speed, quality and compliance is more important than ever in the medical device industry. Global megatrends, such as device connectivity and highly personalized medical therapies and devices, are forcing changes at a rapid pace. Manufacturers must not just meet – but exceed - regulatory requirements. To succeed in this competitive, complex, and individualized market, medical device companies must leverage the Internet of Things to pair big data analytics with manufacturing and global supply chains and with design and development processes across the entire value chain.

Our IoT solutions for the medical device industry are powered by combining big data with digital twins, a virtual representation of actual devices, moving in tandem across the lifecycle and connected by digital threads. By connecting virtual development and production planning environments with real support and lifecycle production data, we are equipping med-tech organizations with the transparency and advanced analytic tools required to gain a competitive edge using big data.

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IoT and Lifecycle Analytics for Medical Devices
IoT and Lifecycle Analytics for Medical Devices
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