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.