Co-designing medical devices in a clinical innovation hub

Inside a clinical innovation hub, engineers and doctors work together to turn frontline problems into practical medical devices. This process is more disciplined than asking a technical team to build a tool in isolation. Clinicians contribute knowledge of patient care, workflows, risks, and unmet needs, while engineers bring expertise in materials, electronics, software, manufacturing, and human-centred design.

The strongest projects also include patients, carers, nurses, allied health professionals, researchers, and health service managers. Their perspectives help teams understand how a device will be used in real settings, where time pressure, accessibility, infection control, training, and cost can determine whether an innovation succeeds.

This approach reflects the work of health translation networks such as the Brisbane Diamantina network, which connects research organisations, universities, and health services to move evidence from discovery into clinical practice. Co-design gives that translation process a practical focus: a promising concept must become safe, usable, and valuable for the people who depend on it.

From clinical need to design brief

A project usually begins with a specific care problem rather than a request for a particular gadget. A doctor may report that a diagnostic procedure is difficult to perform consistently, while a nurse may identify delays caused by equipment setup. Patients can reveal discomfort, anxiety, or barriers that are invisible in a clinical workflow diagram.

The team then defines the problem in measurable terms. A design brief might set goals for accuracy, response time, portability, cleaning, battery life, or ease of use. It may also identify the intended setting, such as an emergency department, operating theatre, community clinic, or patient’s home. Clear boundaries prevent the project from expanding into an unmanageable collection of features.

Working across professional boundaries

Co-design depends on regular contact between disciplines. Engineers need to observe clinical work rather than rely on assumptions, and doctors need enough technical insight to understand which ideas are feasible. Workshops, shadowing sessions, interviews, and rapid design reviews create a shared vocabulary around the problem.

Good collaboration also gives every participant a meaningful role. A biomedical engineer may lead system architecture, a clinician may define safety-critical requirements, and a patient representative may challenge an interface that appears simple but creates confusion. These contributions are combined through documented decisions, prototype feedback, and agreed criteria for success.

Clinical innovation hubs can provide the neutral environment needed for this exchange. Universities contribute research capability and specialist laboratories, health services provide access to real workflows, and industry partners may support manufacturing or commercial development. Together, these connections reduce the gap between an interesting invention and a deployable healthcare solution.

Building and testing prototypes

Early prototypes are deliberately simple. Cardboard models, 3D-printed parts, screen sketches, sensor kits, or simulated software can reveal problems before a team invests in a polished device. A clinician may discover that a handle is difficult to grip with gloves, or an engineer may identify that a required component makes the device too heavy for mobile use.

Testing then becomes an iterative cycle. Teams observe people completing realistic tasks, record errors and delays, and refine the design. Simulation is especially valuable when direct testing with patients would create unnecessary risk. For example, a device intended for trauma care can be assessed with clinicians in a simulated resuscitation environment before it reaches a treatment area.

The testing plan must match the device’s intended purpose. A monitoring system may need evidence of measurement accuracy, while a surgical instrument may require analysis of ergonomics, sterilisation, and failure modes. User experience matters in both cases because a technically accurate device can still fail if people cannot operate it under pressure.

Evidence, safety and ethics

Medical device development is governed by safety requirements from the earliest stages. Teams identify hazards, consider how a device might fail, and build safeguards into hardware and software. Cybersecurity, privacy, electrical safety, biocompatibility, accessibility, and infection prevention may all be relevant depending on the design.

Ethics and governance processes protect patients and clarify responsibilities. Research involving people requires appropriate approval, informed consent, secure handling of data, and transparent communication about potential benefits and risks. These requirements are not simply administrative hurdles; they encourage teams to examine whether the proposed innovation is justified and whether its benefits are likely to reach the communities who need it.

Clinical evidence also needs to account for different populations and care environments. A device tested in a major hospital may perform differently in a regional service or home-care setting. Including diverse users during development can expose practical barriers involving language, disability, digital access, cultural safety, and transport.

From prototype to patient care

A promising prototype must pass through a translation pathway before routine use. This can involve regulatory assessment, quality management, procurement review, staff training, maintenance planning, and a carefully monitored pilot. Health services need confidence that the product can be supported after launch, including replacement parts, software updates, troubleshooting, and incident reporting.

Implementation specialists help teams examine the wider system around the device. A new diagnostic tool may require changes to referral pathways, electronic records, laboratory processes, or clinical decision-making. Measuring outcomes before and after introduction can show whether the innovation reduces complications, shortens waiting times, improves access, or produces better patient experiences.

Partnerships between research institutes and healthcare providers are particularly important at this stage. A university laboratory may demonstrate technical performance, but a health service can assess whether the solution fits daily operations. Feedback from the first users should continue after deployment so that the device can be improved responsibly rather than treated as a finished product.

Practical principles for stronger co-design

A reliable collaboration usually follows a small set of working principles:

• Start with a clearly observed care problem and involve end users before selecting a technical solution.
• Include patients, carers, nurses, allied health professionals, and operational staff alongside doctors and engineers.
• Test simple prototypes early, using realistic scenarios and clear measures of usability and performance.
• Build safety, privacy, accessibility, infection control, and regulatory requirements into the design from the beginning.
• Plan for implementation, training, maintenance, evaluation, and equity rather than focusing only on invention.

The value of a clinical innovation hub lies in this connected process. Engineers gain a grounded understanding of care, clinicians gain practical design support, and patients gain a stronger voice in the technologies intended for their wellbeing. Each cycle of observation, prototyping, testing, and refinement makes the final device more relevant to real clinical conditions.

When these partnerships are supported by education, funding, ethical oversight, and health system leadership, innovation becomes repeatable rather than occasional. Teams can move from an unmet need to evidence-informed care with fewer avoidable detours and a clearer view of the outcomes that matter.

Health researchers, clinicians, engineers, and community partners can help shape the next generation of medical devices by connecting ideas with real healthcare settings. Explore opportunities to participate in collaborative health translation and support innovations that make care safer, more accessible, and more effective.