UX Design for Healthcare and Enterprise Software

Why UX Design Matters in HealthTech & Enterprise Systems

In complex environments, bad UX doesn’t just frustrate users,
it creates risk.

In healthcare, it can lead to workarounds that jeopardize safety. In enterprise systems, it means lost productivity, rising support costs, and delayed adoption. And for your product team, it’s rework,
churn, and missed opportunities.

At Koru, we don’t treat usability like a layer you add at the end. We embed it from day one, so your product works the way real users expect, under real-world conditions.

A Proven UX Process to Design for Adoption, Compliance,
and Scalability

With 1,500+ projects behind us, we’ve helped millions of
patients, clinicians, and administrators experience simpler,
smarter digital care.

We don’t rush to wireframes. We begin with the problem because
a misunderstood problem leads to expensive mistakes in
healthcare and enterprise systems.

Our Process is Structured Around Four Key Stages

Koru’s 4 Key Stages
of UX Design

1. Discover the problem

We start with UX research to understand what we’re trying to learn, and why it matters. We develop a plan that’s appropriate for your users, your timelines and your product maturity.

Then we go into the field. That might mean shadowing clinicians between patient consults, observing admin workflows across disconnected systems or speaking directly with patients navigating a complex care journey. We look for what users say, but listen closely to what they hesitate to do.

2. Define the problem

Once the research is gathered, we move into synthesis. We analyze the findings for patterns, contradictions, and insights that matter.

We conclude, not just with a list of pain points, but with an understanding of what’s truly at stake for each user group. Finally, we make recommendations: clear, practical, and prioritized, so your team can act with confidence.

3. Ideate possible solutions

With the problem defined, we explore solutions. We generate ideas, not just internally but often in collaboration with your product and engineering teams.

We sketch, wireframe, and prototype. We validate concepts with real users and iterate until what we’ve designed feels intuitive, trustworthy, and useful.

4. Design the solution

This is where concept becomes product. We define the visual language, layout and interaction patterns that will carry your product forward.

We design user interfaces, screens and workflows to make sure each step supports the user’s goal and aligns with regulatory or technical constraints. And we design the micro-interactions: the details that guide behaviour, build trust and reduce the cognitive load in high-pressure moments.

Whether you’re redesigning a legacy EHR or launching a new
AI-powered tool, our process helps you move forward with clarity and build a product your users will actually adopt.

1,500+
healthcare UX
projects

Multi-year
iF Design Award
winner

Top-rated
UX agency on
Clutch

UX partner to the
world’s largest
cloud-based AI EHR

UX Design for AI-Powered Products

In healthcare and enterprise settings, AI isn’t impressive unless it’s usable. Whether you’re building a diagnostic assistant, predictive engine, or chatbot, trust is earned through clarity, not complexity.

We design AI-powered experiences that feel intuitive, not intimidating.
Our approach balances technical possibility with user psychology, ensuring that what’s “smart” also feels safe, useful, and human.

Snapshots of multiple UX design solutions by Koru

Here’s how we break it down:

Explainability

We don’t just show what AI recommends, we surface why. Users need to understand how a decision was reached to feel confident acting on it.

Control

Critical decisions require a human in the loop. We design interfaces that offer guidance without taking away agency.

Clarity

Every output, risk and suggestion is framed clearly, with thoughtful copy and contextual cues that reduce ambiguity.

Ethics & Safety

We bake in considerations for bias, privacy, and clinical risk from day one, so you’re not retrofitting safety into something already built.

We’ve supported AI design across everything from medication guidance to billing automation. And we’ve done it in a way that respects regulatory boundaries, clinical workflows and human judgment.