MedDevice by Design with Mark Drlik and Ariana Wilson
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Medical Device Reprocessing Design Challenges

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Designing a medical device is never just about performance. Medical device reprocessing design plays a critical role in whether a device can be safely cleaned, reused, and validated in real-world clinical environments. In this episode of MedDevice by Design, Ariana Wilson sits down with Mark Drlik to unpack why reprocessing is often one of the hardest challenges engineers face during development.

Early in the conversation, Mark explains that reprocessing decisions begin at the architecture stage. Teams must decide which parts of a system are consumable and which are reusable. From there, details quickly become complex. Cracks, crevices, adhesives, and sealed interfaces can all make cleaning more difficult. For electromechanical medical devices, designers must also determine whether electronics can be separated or must withstand repeated reprocessing cycles.

Designing for Reprocessing Starts Early

Designing for reprocessing does not wait until the end of development. Instead, it should be considered during early subsystem design and confidence testing. Mark highlights that early testing is especially important when designers already suspect risk areas, such as lenses bonded to surfaces or assemblies joined with adhesives.

However, even verification testing for reprocessing presents challenges. Test soils are often highly controlled and do not perfectly reflect clinical reality. For example, defibrinated blood does not clot, yet it is commonly used in standardized cleaning tests. Achieving realistic mixtures of proteins, carbohydrates, and lipids is difficult, even when following prescribed standards. As a result, verification may pass while still missing real-world variability.

Validation, Observer Effects, and Real-World Use

Design validation adds another layer of complexity. Observable summative evaluations can unintentionally influence results. Mark shares an example where users cleaned devices more thoroughly simply because they were being observed. As a result, competing detergents appeared equally effective, masking real differences.

The same issue applies to medical devices. When users know they are being watched, they often perform cleaning steps more carefully than they would in everyday practice. This creates a gap between validation results and actual use.

Additionally, real-world use does not always follow planned schedules. Emergency procedures, weekend use, and unexpected cleaning intensity can all push devices beyond their validated assumptions. Therefore, reprocessing medical devices requires designers to think carefully about foreseeable misuse and how devices respond to more aggressive or irregular cleaning cycles.

Designing for Misuse and Variability

Ultimately, Mark emphasizes the importance of considering misuse scenarios during design. While it is impossible to test every situation, anticipating variability can reduce risk later. Thoughtful medical device reprocessing design helps ensure devices remain safe, functional, and compliant throughout their lifecycle.

Businessman holding a glowing compliance icon with legal and regulatory symbols, representing REACH SVHC compliance for medical device manufacturers

Nigel Syrotuck breaks down REACH SVHC compliance for teams working with material suppliers and compliance questionnaires.

Medical Device Design Simulation

We examine when computational modelling and simulation, or CM&S, genuinely supports medical device simulation strategy and when it becomes a costly detour.

Transparent medical device prototype surrounded by computational simulation mesh representing modeling and simulation during medical device development.

Many teams still underuse CM&S, often bringing it late in device validation, when key decisions have already been made. That approach leaves much of the value of CM&S untapped.

Biomedical engineer reviewing a thermal simulation of human head tissue on a monitor, color-mapped from warm to cool gradients

This article traces the Pennes bioheat equation from its 1948 origins to modern multiscale approaches, explaining how engineers select the right level of modelling complexity across device categories.