We designhealthcareinnovationspeople loveto use.

Lizz digital companion and HappyPlant app, connected through listening, co-design and refinement

We turn healthcare research into interactions people love to use. Your hands-on partner for human-centered research, design and development.

01 / Why we do it

Better technology starts with
the people who needs it most.

We design with people to make everyday care more accessible, personal and connected. Their needs shape what we build, from the first question to real-world use.

RehabilitationDementia careInclusive healthcareHealth in adolescencePatient empowerment

02 / Selected work

Small interactions.
Meaningful change.

From a companion at home to a better conversation in the consulting room. Our work connects research, design and technology to everyday care.

01LIZZ.HEALTHDigital companion / Care transitions
The new Lizz interface on a tablet, with a conversational avatar, shown in a home settingFROM RESEARCH
TO EVERYDAY CARE

Care that
stays close.

Lizz supports daily routines, rehabilitation and check-ins between care moments. We bring user research, conversational design and software development together in one digital companion.

2hospitals in the randomized trial
100+participants in the trial

Research in progress: Lizz-TRANSCARE evaluates care transitions in a randomized trial across two hospitals with 100+ participants. The RCT studies clinical effectiveness of the new Lizz product.

02SMARTCHANGE / HAPPYPLANTBehavior change / Horizon Europe

Healthy habits.
A little more joy.

HappyPlant turns young people’s activity and health goals into a growing virtual plant. Within SmartCHANGE, we combine co-design, behavior-change interaction and mobile development.

Young people with two phones showing the HappyPlant app: adopting a virtual plant and the garden checklistSMALL STEPS.
REAL LIFE.
500+users testing the experience
5countries involved in testing

Learning in real life: Field testing with 500+ users across five countries informs how the experience fits different routines and settings.

03PATIENT-IN-THE-LOOP AIResearch collaboration / Oncology

The right explanation.
At the right moment.

What would an ideal patient journey look like if understandable AI and a person's own priorities were part of every important conversation?

With Radboud University and Radboudumc, we explore new interaction concepts for explainable AI and shared decision-making in oncology. This includes our involvement in the ELSA collaboration and the SIDN-supported Responsible AI for Clinical Decision Support project.

We connect patient-journey research, inclusive service design and new explanation interfaces with patient-facing companions and professional workflows. Quality of life, independence and what matters to the patient guide the questions we explore.

Radboud University + Radboudumc
ELSA / SIDN-supported research

Before the consultation

What matters most in my everyday life?

Elicit priorities, questions and support needs.

Design approachable conversations and check-ins, with low-burden input and support for people with different levels of digital confidence.

LEARN. ADAPT. REVISIT WHAT MATTERS.
Explore all projects

03 / What we do

We love design
explorations.

Research, design, build, learn. One team takes your question from early exploration to a working solution, with feedback shaping every step.

01 / UNDERSTAND

Research

Understand people, routines and barriers in everyday care.

02 / CO-DESIGN

Design

Co-design accessible conversations, interfaces and services.

03 / PROTOTYPE & BUILD

Develop

Build software and prototypes people can actually try.

04 / EVALUATE & LEARN

Evaluate

Test in context and use the findings to improve.

From insight to implementation

Conversational AI & Dialogue.
Designed around people.

We design and develop conversational AI for healthcare: dialogue flows, digital companions and interactions that fit the needs of patients and care professionals. Our work combines conversation design, software development and evaluation with users.

Conversational UXApps & integration

Explainable AI.
Open to questions.

In explainable AI, we focus on human–computer interaction: helping people understand, question and discuss AI-supported information. We work with research partners who develop and validate the underlying models.

Human-centered AIReal-world evaluation

Business development is not a ‘side activity’ at the end of the project. It’s an integral part of innovation. That’s why our business developers are involved from the first project ideas, all the way to implementation and scale up.

We are experienced project coordinators. We successfully coordinated European research consortia and national innovation projects – bringing together academia, research organization, companies and healthcare organizations.

04 / Human-centered technology

A conversational head start.
Not a black box.

Technology should support human connection and keep people in control. We help develop Dialogue Branch, the open-source framework for conversation logic that teams can inspect, adapt and reuse. Our own digital companions are built on it.

Reusable where possible. Accessible by design. Built with privacy and human support in mind.

Explore Dialogue Branch
Dialogue Branch Studio showing a visual dialogue

Good company.
Shared ambition.

Our work grows through collaboration. Research partners, technology partners and funding programs each play a different role.

Research + care

Radboud UniversityRadboudumcAmsterdam UMCVU AmsterdamVilansTU DelftTU/eHVAHU University of Applied Sciences Utrecht

Technology + innovation ecosystem

SmartRobot.SolutionsSENSThe Simulation CrewEvidencioOost NLHealth Valley

Funding programs + supporters

Horizon EuropeZonMwHealth~HollandSIDN fondsTHCSEFRO

05 / Our team

Different minds.
Shared curiosity.

dr. Martijn Vastenburg

dr. Martijn
Vastenburg

Founder & CEO

dr. Harm op den Akker

dr. Harm
op den Akker

Chief Technology Officer

Dominic Kremer BSc

Dominic
Kremer BSc

E-health Designer

Dennis Hofs MSc

Dennis
Hofs MSc

Senior Software Developer

Meet the whole team

Your next research question?

Let's make
something
worth using.

Building a consortium or exploring a care challenge? Bring your question. Let’s turn it into something people can use.

Discuss a research idea

Lizz.health / Research into use

A companion. A product.
From research prototype to commercial product

Lizz is a digital extension of the care team, designed to support routines, check-ins and rehabilitation activities. It connects patient-facing interaction with a professional care context.

OUR CONTRIBUTION
User research / Interaction and service design / Software and integration / Research coordination / Product and market development

An older adult using the Lizz.health digital companion on a tablet at home

Where Lizz began

The idea for Lizz emerged from a collaborative project on malnutrition. We wanted to develop a tangible companion for vulnerable older adults, making it easier to improve eating habits. Together with HAN University of Applied Sciences and dietitians, we extensively tested the first prototype. The feedback was remarkably positive, but finding funding to develop Lizz further in the field of malnutrition proved difficult.

As a next step, we tested Lizz with rehabilitation clinics, again working with a vulnerable patient group. Lizz was also extensively tested in dementia care. The results in both settings were positive.

Beyond the prototype

We bring insight from patients and care professionals into the product, and bring questions from real-world use back into research. Implementation, onboarding, ongoing development and a sustainable route to use are part of the design challenge.

Clinical evaluation in progress

In Lizz-TRANSCARE, we are conducting a randomized controlled trial across two hospitals with 100+ participants. The work investigates support across the transition from hospital or rehabilitation care to home. Our current focus is on further product development and gathering clinical evidence.

Entering the market

We are working with investors to further develop the Lizz concept into a commercial product with medical certification, initially targeting clinics. To support this transition, we have established the spin-out Lizz.Health, helping ensure that the innovation continues beyond the research project and reaches clinical practice.

We are also working with a launching customer in Germany on scaling up and rolling out Lizz.

Visit the lizz.health website ↗

SmartCHANGE / HappyPlant

Behavior change people
can connect with.

An EU Horizon Europe project developing AI-powered health risk prediction models and behaviour change tools to help children and youth aged 5–19 prevent cardiovascular and metabolic diseases.

OUR CONTRIBUTION
Co-design / User experience / Behavior-change interaction / Mobile software development / Iterative refinement for field evaluation

A design decision, not a decorative theme

In the co-design process, we helped young people, families and professionals explore different app concepts. The plant direction became a way of connecting daily effort to visible growth, rather than presenting another conventional health dashboard.

Learning across contexts

500+ users are testing the experience across five countries. We use feedback to refine how the interaction fits everyday routines and differing needs.

The SmartCHANGE partners

Institut Jožef StefanAlfahealth — an Accenture companyAmsterdam UMCCOMMplaConnectedCareJAMK University of Applied SciencesTaipei Medical UniversityEindhoven University of TechnologyTrust-IT ServicesUniversity of PortoUniversità della Svizzera italianaUniversity of Piraeus Research CenterUniversity of LjubljanaVrije Universiteit Brussel
Explore the HappyPlant app ↗
SmartCHANGE on CORDIS / Horizon Europe ↗

Patient-in-the-loop AI / Oncology

Design the journey.
Not just the explanation.

Our collaboration with Radboud University and Radboudumc explores how people can understand, question and use AI-supported information in conversations about care. Our involvement includes the ELSA collaboration and SIDN-supported research on responsible clinical decision support.

Start with the patient's priorities

We investigate patient journeys with patients, caregivers and professionals. We explore when people need information, which daily-life outcomes matter to them, how preferences change and where digital interaction might create an additional burden.

Make explanation an interaction

Our design direction goes beyond a single risk score. We explore conversational and visual formats for questions, options, uncertainty and the provenance of information. The aim is to support understanding and deliberation, not to steer a person's treatment choice.

Connect insight to working services

The expertise we bring includes inclusive service blueprints, accessible companion interfaces, low-burden patient-reported input, understandable feedback and software integration with professional systems. Sensory, cognitive and digital-literacy needs, assisted use and human oversight inform the design.

Keep learning in context

We contribute prototyping and iterative evaluation of comprehension, usability, acceptability and workflow fit, alongside implementation and exploitation planning. Clinical partners define clinical content and responsibilities; specialist partners provide and validate the underlying models.

Our role: making explainable AI usable.

ConnectedCare designs the interaction between patients, care professionals and AI-supported information. We explore which explanations people need, when they need them and how conversational and visual interfaces can support understanding and shared decision-making. We develop prototypes and evaluate their clarity, usability and fit with clinical workflows.

Research partners such as Radboud University develop and validate the underlying AI models. Together, we connect model explanations with the questions, priorities and decisions people face in everyday care.

The partners

Radboud UniversityUtrecht UniversityHanze University of Applied SciencesELSA LabICTRechtConnectedCare
Read the SIDN project profile ↗
Explore the ELSA collaboration ↗