How does it work?
The platform acts as middleware between home measurements, eHealth apps and healthcare information
systems. It works similarly to iDEAL or Adyen, but for healthcare data: one secure link that enables
countless reliable data streams. This creates a uniform, scalable and privacy-compliant ecosystem for
European healthcare data. www.ombrio.eu
ENGLISH
With SYOD we are developing a European digital interoperable transaction platform (ombrio) for patients
with chronic conditions. The platform enables simple, secure and automatic self-measurement sharing
and continuous monitoring. Think of cardiovascular measurements (such as blood pressure), metabolic &
body specific measurements (blood sugar, weight), sleep & breathing (apnea) and other physiological
measurements such as body temperature. With the system, we are responding to the new EU Data Act
(12/9/25) and strengthening patients' self-management, in line with the principle of reablement: promoting
independence and active involvement in their own health. We start regionally in the Netherlands with
partners, pilots and regional data, but immediately design according to European standards
(interoperability, privacy) for future upscaling.
Impact
The project contributes to the transition to digital, preventive and patient-centered care on the RIS3
themes:
"From care to (positive) health" + "From analogue to digital".
It reduces administrative burdens, accelerates the adoption of home monitoring, and lowers costs for
caregivers and patients. With the explicit consent of patients, data streams will also be available to
software suppliers, healthcare centres and research institutions, stimulating innovation in AI, prevention
and personalised care.
Economic perspective
The digital transaction platform for healthcare data creates significant economic opportunities for the
partners involved and the broader healthcare and technology sector in the Netherlands. The European
market for home monitoring and digital care is growing explosively and is expected to exceed €40 billion by
2030. The introduction of the EU Data Act mandates secure, standardized data sharing and opens a door
for new players with interoperable, compliant technology such as this platform.
Revenue model
The revenue model is simple and scalable: a small fee is charged to the end user or his health insurer for
each data stream. Healthcare provider organizations do not pay license fees, which accelerates adoption.
This model is similar to iDEAL and Adyen-like transaction services, offering a gross margin of 60–70%,
thanks to low cost per data transaction, limited support needs and a scalable cloud infrastructure. Due to
standardization and automation, cost growth lags behind volume growth, which allows for a structurally
high margin profile. Within five years of market launch, annual sales of €+10 million are expected in the
European market. Due to standardization and automation, cost growth lags behind volume growth, which
makes a structurally high margin possible.
Market perspective
There is currently no European player that acts as an independent transaction layer for healthcare data.
Existing solutions are country-specific, brand-specific or not fully compliant with the EU Data Act. Through
early positioning and collaboration with healthcare umbrella organisations, patient organisations and
software suppliers, we claim a unique first mover advantage in a fast-growing market.
©SYOD BV 2025 www.syod.nl www.ombrio.eu
Economic interests
- Technology partners benefit from licensing revenues, management contracts and further product development in the healthcare ICT market;
- Healthcare organizations realize cost savings through reduced administrative burdens and more efficient deployment of staff;
- Research and data partners gain access to valuable, anonymized datasets for AI development and prevention research;
- Consumer and measurement equipment manufacturers strengthen their market share through standard links with the platform;
- Indirect contribution because people stay healthy longer and experience less absenteeism.
Social impact
The social impact is great. In the Netherlands alone, more than 1.2 million people live with diabetes, 537.00
with COPD, 1.7 million with kidney damage and 2.8 million with hypertension. For these groups, regular
measurement is essential, but now very time-consuming. By automating home measurements and
securely sharing them with healthcare providers, patients gain more control and work on the concept of
positive health, while significantly reducing the pressure on healthcare professionals.
Impact on care and research
The potential impact on healthcare capacity is substantial: in the Netherlands, these patient groups take
up at least more than 4 million care hours annually. If only 10% of the activities can be replaced via home
measurement, this will result in a structural saving of 400,000 care hours per year. That time can be used
for complex care and personal guidance. In addition, the anonymised measurement data will be made
available to regional knowledge institutions via a separate blackbox structure. This creates a valuable data
source for the development of predictive AI applications, aimed at prevention and early detection of health
problems. In this way, the project not only strengthens healthcare, but also the regional knowledge position
on digital health. The initiative is in line with regional ambitions in the field of digital care, healthy lifestyle
and labour savings. The platform prevents unnecessary consultations and administrative actions because
data is automatically and securely forwarded to healthcare systems.
Concrete effects
This leads to:
• Fewer physical consultations due to home measurements;
• Fewer administrative actions for practice nurse GP/home care;
• Possible relocation of measurement moments to home situation;
• Expected reduction of 20–35% in routine metering traffic.
Contribution to affordable, accessible, organisable care:
• Higher autonomy for patient;
• More efficient deployment of personnel;
• Better data quality for clinical decision-making;
• Lower implementation threshold because healthcare organization does not have to install anything.
