Concurrent Engineering Blog

Digital transformation is changing the MedTech industry as it shifts from traditional hardware to a more data-driven approach. With higher expectations from patients, new demands from regulators and competition from new digital-first entrants, MedTech has never been more challenging. 

In this article, we’ll look at how digital transformation can help MedTech companies overcome these challenges. Whether it’s AI, IoT, cloud, advanced analytics or anything else, the key to MedTech survival lies in these capabilities. Let’s get started.

Sustainability used to be a nice-to-have in MedTech, but now it’s a core priority. It’s no surprise that manufacturers are under pressure to change how devices are created, produced, packaged and handled at end of life. After all, the healthcare industry accounts for around 4.4% of global carbon emissions, and roughly 80% of that comes from the production, transport, use and disposal of medical supplies. Change is now essential, not just for environmental impact but also long-term business survival.

In this article, we’ll look at how the MedTech sector is shifting to create a more sustainable future.

If your CAD system is slow, has a tendency to crash under pressure or makes simple changes painful, it’s time to move on. Creo is the design professional’s choice for stable, fast and smart design. Built on 35 years of experience, Creo helps engineers and manufacturers turn ideas into products more efficiently than ever. 

In this article, we’ll share eight ways Creo keeps ahead of the design curve.

It’s a tough time for product engineering leaders. Working against a backdrop of geopolitical and economic uncertainty, every investment is under scrutiny. Companies want to see three key improvements:

• Fast, measurable returns
• Greater efficiency with lower costs
• Quicker routes to market

You’re chasing a product deadline and you’ve handed your designs off to the manufacturing team. But manufacturing doesn’t understand some of the key details because they’ve been working on a different version of the design. Emails fly. Drawings need to be revised. By the time you’ve sorted the problem out, you’ve lost weeks.

You’ve got a great design idea, but you know that getting a manufacture-ready 3D CAD design is a huge amount of work. It’s time-consuming, and your design might not even be sufficient to achieve your goals.  

Imagine being able to spot a critical design flaw before you spend time and resources creating a prototype. Now, imagine doing that every single time you make a design change.

Mathcad Prime 11 is here to help engineers do more with their time. Of course, being Mathcad, version 11 doesn’t try to reinvent the wheel. Instead, it makes calculation processes smoother, faster, and more responsive where it matters. If you’re already using Mathcad Prime, you’re sure to discover some valuable improvements with version 11. If you’ve never used Mathcad Prime before, you’re in for a treat.

Semantic definition is a key feature of Model-Based Definition (MBD) that ensures precision, clarity and regulatory compliance throughout the product lifecycle. 

Generative design, where designers incorporate AI algorithms into their processes to create and evaluate multiple designs faster, is the hottest topic in product development right now. The opportunities are there for all to see: the ability to design better, faster, cheaper and more sustainably. However, nothing in life is perfect, and generative design brings a range of challenges that you need to navigate if you’re going to reap the rewards.