Create trustworthy health intelligence to lead the way

Health care systems and organisations are constantly balancing exciting opportunities such as the introduction of new technologies and medicines, the development of A.I. algorithms and more personalised care against the threats of soaring health care expenditure and calls for more accountability, to name just a few.

Health data is often at the heart of operational, strategic and clinical insights, business intelligence and data warehouse services that support health innovation, provided it meets strict quality and privacy requirements.

Enhancing health care through health data

  • The analysis of great quantities of health data can produce evidence for policy, strategy and resource planning, and clinical innovations.


  • The reliability of data-driven insights depends on the quality of the health data under analysis, the reliability of the digital health systems used and the trustworthy approaches applied by data workers.


Create trust

  • You want to raise awareness and knowledge, within and outside of your organisation, of the importance to re-use health data, and produce evidence you do so in trustworthy ways.


  • You need to access and combine data from several sources. It is essential that you be confident and create confidence when exchanging health data with stakeholders and partners or when relying on data from a diversity of medical technology devices.


Demonstrate accountability of your health data outcomes

Health and data strategy organisations:
How robust is your health data approach?

Are you sure all measures are in place in order to …

Be confident you produce reliable insights

A continuous cycle of data improvement

Health data is a major asset to your business. It is essential that data quality checks and improvement cycles be integrated in your organisation’s daily routines.

We provide you with instruments, insights and strategies to know and enhance your data quality

Improve your access to reliable real-world data

Combine and collate health data

You want to select the appropriate real-world data fast and easy. However, real-world health data is often not fit for the intended re-use purposes.

Health data providers can therefore have their specific data sets benchmarked against your quality criteria so as to check whether they are fit for your objective.

We verify that health data is fit for purpose

Benchmark for clinical research

Comply with all data protection regulations

Create clarity and alignment

Health data is the most personal and sensitive information. Its use is tightly governed.

GDPR compliance is a challenge that has to interplay with other aspects of information governance such as ethics, security and contractual obligations. 

In addition, the assurance of the processes, tools and practices that are in force when using a health ICT system is essential.

And finally, you want to educate your staff to ensure they understand and adhere to your practices and policies.

We conduct conformity assessments against a unique set of European criteria

Check trustworthy health data

We organise GDPR tutorials

Produce the necessary quality labels

Create certified trust

There is a growing demand from individuals and businesses alike to see evidence of the quality and trustworthiness of health data and health data handling.

As a neutral body, i~HD can help produce the necessary evidence by conducting assessments and issuing different types of quality labels that showcase an organisation’s accountability.

Be part of an innovative health data community

Connect and collaborate

Get in touch with other health data stakeholders, showcase the research value of data, boost collaboration, help shape governance of societally trusted reuse of health data in research.

Participating in our events and joining our independent European multi-stakeholder institute means being part of a health data community where you can showcase your expertise, propose initiatives and work out solutions.  

i~HD unites all health data stakeholders to catalyse and enable the reuse of health data

i~HD