One of the downsides to healthcare software is that it can overlook the urgency and emotional weight behind its users. While it has helped digitize administrative workflows and expand access to care, it has also introduced new layers of friction at critical moments. The promise of seamless user experience (UX) in healthcare has long been undermined by fragmented systems and outdated processes; seamless UX in this context is the difference between timely care delivery and prolonged uncertainty. Nowhere is this more visible than in elderly care, where urgency, emotion, and complexity converge. Families searching for care are often met with long intake forms, repeated phone calls, and disjointed clinical workflows that slow decision-making at the exact moment speed matters most.
“Families are still being forced into super slow manual processes when they need something quick and reliable,” Bruno Ceccolini, Co-Founder at Match with Care, says. Ceccolini and his business partner Nicolas Richard Castro, former Amazon engineer, launched Match with Care to address these inefficiencies directly, redesigning how families and carers connect through a more seamless, data-driven experience.
While demand for home-based care continues to rise, healthcare software has not evolved at the same pace. “You still see long intake forms, back and forth calls and kind of fragmented processes,” says Ceccolini. The result is a system that feels misaligned with real user needs, particularly for those navigating care options for the first time. At its core, designing for healthcare users requires a shift away from static, one-time interactions toward dynamic, continuously updated systems. This is especially true in patient-facing design, where clarity and speed directly influence outcomes.
Designing Around Clinical Workflow Complexity
One of the central challenges in building software for clinical settings is managing interface complexity without oversimplifying critical information. It’s a data problem as much as a design one. Traditional platforms rely heavily on static profiles that quickly become outdated. In contrast, Match with Care focuses on continuous data collection through conversational interfaces. “You can’t just rely on a static form that they submitted a year ago. That’s not going to be relevant anymore,” he says.
By leveraging ongoing interactions, particularly through familiar tools like WhatsApp, the platform captures real-time updates on availability, preferences, and experience. This approach reflects a deeper understanding of how developers can better approach healthcare UX by treating it as an evolving system shaped by constant input.
Reducing Friction in Patient-Facing Technology
Reducing friction in patient-facing technology requires a deliberate balance between automation and human interaction. As digital health platforms increasingly integrate AI to streamline operations, they also introduce new questions around transparency and control. In high-stakes environments, trust remains a defining factor. “It’s amazing at reducing friction and providing scalability,” he says, pointing to AI’s role in onboarding carers, updating profiles, and structuring data in the background. These are repeatable processes where automation enhances efficiency without compromising quality.
However, when it comes to families seeking care, the approach shifts. “They don’t want to be talking to an AI chatbot when they’re finding care for their loved ones.” Here, human interaction becomes essential, reinforcing trust and providing reassurance during emotionally charged decisions. Automation must support the experience, not replace the human elements that users depend on most.
Data Quality as the Foundation of User Adoption
Why healthcare UX fails at scale often comes down to one overlooked factor: poor data quality. Even the most intuitive interfaces cannot compensate for inaccurate or outdated information. Ceccolini emphasizes that effective matching between carers and families is not about choosing algorithms over human judgment, but about strengthening the data that informs both. “Many platforms have incomplete or outdated data and that leads to poor matches and delays,” he says. By prioritizing continuous data updates, Match with Care improves both speed and reliability. This directly impacts user adoption, as families are able to find suitable carers within hours rather than weeks. In a market where expectations are rising, this shift toward real-time accuracy is critical.
Seamless Healthcare Software
As health systems continue to digitize, the platforms that succeed will be those that reduce friction without removing empathy, and that design for real-world behaviors rather than idealized workflows. For early-stage companies operating in digital health, this represents both a challenge and an opportunity. Those that can align software design for care delivery teams with the lived realities of patients and providers will define the next generation of healthcare UX.
Follow Bruno Ceccolini on LinkedIn and visit Match with Care for more insights.
