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Clinical environments introduce unexpected pressures, interruptions, constraints, and human behaviors that no bench test can fully replicate.
August 20, 2026
By: Thanh Nguyen, Ph.D., MSN, FNP-C
Even if a medical device satisfies every technical and regulatory requirement during development, its most demanding test still lies ahead: real-world use.
Clinical environments introduce unexpected pressures, interruptions, constraints, and human behaviors that no bench test can fully replicate. These ad-hoc scenarios greatly impact how a device is used, how frequently it’s used, or whether it’s used at all.
Failing to consider elements like patient discomfort and clinician workarounds from the outset of the design process creates variability, and that variability creates risk. Human factors engineering (HFE) provides a structured way for teams to mitigate it.
Converting early HFE insights into design decisions that inform safer, more consistent solutions helps prevent headaches now, while equipping devices for more successful adoption later.
Training and individual behaviors are a small part of the human factors risk equation. In many cases, issues emerge from interactions between a device, its users, and the environment.
Device hazards often only appear once they enter real clinical environments where patient experience, workflow demands, timelines, physical effort, and cognitive load determine outcomes. HFE anticipates these obstacles by encouraging designers to formulate a better understanding of the following variables:
If a designer ignores these elements, they instead assume the ideal technique during discovery—which means your go-to-market design may have built-in adoption fiction.
In discovery, teams tend to immediately seek a solution based on assumptions, existing products, or familiar workflows without stepping back to explore root problems or alternative vantage points.
Yet the time and cost saved through this approach will often reappear downstream in the form of late-stage redesigns, delayed transfers, regulatory challenges, and ultimately, adoption failure. There are two smart ways to avoid this:
Early discovery period should aim to define the broader problem first, asking questions like:
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Two of the most influential user groups in early discovery, patients and clinicians, usually double as the most underrepresented.
Neglecting their insights isn’t due to lack of appreciation or intent. Teams are busy, and the gap between lived frustration and scalable product design may feel too wide. These groups, however, carry the right perspective to help close it.
When devices add extra steps, create mess, require unnecessary physical effort, or demand retraining, clinicians must default to workarounds: user-invented processes that keep workflow moving but can introduce unintended hazards.
When a workaround becomes standard practice, many of the upfront design risks have already worked themselves out. Now it’s up to the design team to refine the concept to ensure marketability.
Take early irrigation procedures as an example. When using syringes, clinicians nationwide spent decades improvising solutions (i.e., poking holes, attaching makeshift components) to prevent splashback. The workaround solved a real-world frustration but created massive inconsistencies.
All it took was one clinician to recognize the pattern and formalize his concept as a standardized product, seeing that frontline challenges could translate directly into manufactured solutions.
Patients always seem to come last in user flow conversations, despite being a primary deciding factor in sustained adoption. Discomfort determines behavior, so if the public doesn’t like a device, they won’t consent to its use.
Flashback to the COVID-19 pandemic, for instance. Patients dreaded nasal swab sampling because it was painful and invasive, which shaped a poor reputation that stuck. Today, the Journal of the American Medical Association Network reports a third of Americans would refuse testing if respiratory symptoms appeared. They’d rather wait it out than willingly face discomfort.
Across all medical device applications, tolerability affects compliance, compliance affects consistency, and consistency affects outcomes. Designing for HFE and end users prevents this pathway from becoming a costly trap throughout development.
Clinicians provide essential context into human factors work, revealing certain issues that only surface in bedside practice. They are not expected to design devices or dictate technical solutions. Their value lies in articulating problems, constraints, and lived experiences.
Frontline professionals recognize less obvious elements of resistance among patients and teams, so their insights should be incorporated early on. Effective clinician involvement may entail:
These findings help reduce the risk of overfitting designs to a single perspective while keeping designs grounded in HFE practices and real clinical use.
Missing the big picture of user flow comes with business and compliance consequences. It also undermines the reason many entered this profession in the first place: improving patient care.
Teams can strengthen risk mitigation and support safer adoption through several practical actions:
While regulatory clearance and technical performance mark important milestones in device development, sustained adoption remains the ultimate measure of success.
To achieve it, teams must look beyond their own assumptions, gather varied perspectives, and leverage core HFE principles to translate frontline insights into durable design decisions—all as standard steps in the early design process.
Not only does this strengthen consistency, reduce rework, and support smoother regulatory pathways, but it aligns devices with how clinicians practice and how patients experience care. Naturally, adoption follows that alignment.
Thanh T. Nguyen, PhD, MSN, FNP-C, is chief technology officer of University Medical Devices, and lead designer and developer behind its nasal lavage sampling device, MicroWash. He is a highly accomplished healthcare professional with an extensive background in emergency medicine, medical research, and academia. Dr. Nguyen is deeply committed to integrating technology into medicine to address care disparities and improve patient outcomes.
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