MedTech Intelligence
Innovation, implementation & utilization of medical technology
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Latest posts
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MedTech Intelligence Industry Survey Research Methodology
The MedTech Intelligence Industry Survey is a primary research initiative designed to capture the perspectives of professionals working across the medical technology sector. The study is intended to examine the pressures, priorities, technology shifts, operational challenges,…
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Cybersecurity by Design: Building Traceable Execution Across the MedTech Lifecycle
How MedTech manufacturers can move cybersecurity upstream, strengthen traceability, and prepare for faster vulnerability response. The post Cybersecurity by Design: Building Traceable Execution Across the MedTech Lifecycle appeared first on MedTech Intelligence .
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Reverse Engineering in Medical Device Design: When and Why It Makes Sense
Reverse engineering carries a reputation problem in medical device circles; it sounds like copying. In practice, it's a legitimate engineering discipline with specific, defensible use cases: replacing obsolete components, improving an existing design's manufacturability, and…
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AI-Assisted Triage: Accelerating Post-Market Surveillance While Eliminating Reporting Blind Spots
Complaint volumes have outgrown manual triage, and medical device companies are turning to AI to keep up. The speed gains are real, but used carelessly the same tools can bury a reportable event at the bottom of a queue while the MDR clock runs. This piece maps where AI…
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Sensors at the Edge: Powering Smarter Healthcare
As healthcare shifts towards remote monitoring, connected devices and decentralized care, sensor technologies are becoming increasingly foundational to how medical devices collect, validate and transmit critical information. From remote patient monitoring and at-home care to…
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Devices are Getting Smarter, Making Materiovigilance Evolve Faster
According to Deloitte, only 22% of life sciences leaders say they have successfully scaled AI, and just 9% report achieving significant returns. For materiovigilance, this highlights the growing gap between execution and team expectations. Within this gap, fragmented data and…
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FDA Seeks Public Feedback to Inform Regulatory Approach for Generative AI-Enabled Medical Devices
GenAI-enabled medical devices hold transformative promise for patient care and the broader health ecosystem. At the same time, these devices may introduce unique risks when compared to traditional software and AI-enabled medical devices. The post FDA Seeks Public Feedback to…
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What 524B and QMSR Change About Medical Device Risk
What 524B and QMSR actually require, in plain terms, including the post-market obligation that does not end at clearance? How both map to four kinds of exposure: cybersecurity, product liability, recall, and management liability. Where device makers are commonly unprepared…
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Taking Lean Manufacturing to the Next Level
The increased digitalization of medical device manufacturing makes lean practices more applicable than ever. Keep these factors in mind to put them into action. The post Taking Lean Manufacturing to the Next Level appeared first on MedTech Intelligence .
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Why Few MedTech Sales Teams Are Using AI Where It Matters Most
A MedTech survey revealed that most sales teams are not using AI for strategic purposes, such as identifying opportunities, prioritizing accounts, or research. Instead, AI is mostly deployed to complete administrative tasks, such as drafting emails and summarizing meetings. Why…