What is driving the need for increased transparency across the MedTech organization relative to product innovation, development and commercialization?
What is driving the need for increased transparency across the MedTech organization relative to product innovation, development and commercialization?
Commercialization strategy in 2026 and beyond is more than a checklist. It requires a new mindset where cybersecurity is seen as a patient safety imperative, data is treated as a critical strategic asset, and product lifecycle is an intelligent process.
Rene Zoelfl, Global Industry Advisor for PTC’s MedTech practice, shares how intelligent product lifecycle at Fresenius Medical Care connects cross-discipline teams through a digital fabric built on a shared data foundation.
Artificial intelligence is moving quickly into mainstream medical devices, and the industry has become fluent in a familiar set of concerns: bias, transparency, and cybersecurity. These topics matter, but they don’t capture the risks most likely to shape patient safety in the coming decade. The deeper challenges lie in the interactions between algorithms, clinical workflows, data pipelines, and human decision making. Those interactions are where safety is won or lost, and they remain the least examined part of AI adoption.
How is software-enablement — connected devices and artificial intelligence — reshaping how products are conceived, developed, and deployed in clinical practice? Fragmented operations in large MedTech organizations are not keeping pace with the complexity of products in their pipelines.
Whether gluing or molding, designers must carefully address each challenge to ensure reliable, consistent, and accurate manufacturing – and to avoid costly redesigns or patient safety risks later.
President Trump’s 2025 executive order establishing artificial intelligence (AI) in pediatric cancer as a national priority marks a turning point in medicine. For decades, childhood cancer treatments have advanced slowly, constrained by limited data, small clinical trials, and therapies designed for adults. The convergence of AI and Functional Precision Medicine (FPM) now offers a path to faster, more accurate, and more personalized treatments for children, one that replaces population-based best guesses with evidence-driven precision care.
Hospitals are adding more connected devices than ever before—from patient wearables to asset tracking systems. Yet this digital transformation is being bottlenecked by an antiquated power infrastructure dependent on single-use batteries that create waste, demand constant maintenance, and compromise device reliability.
Converting promising technologies into durable outcomes, experience, and cost at scale with evolving technologies and disruptive innovation.
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