Health data has proved to be a crucial enabler in the development of innovative health, care and research solutions.
This process was facilitated by new digital ways for collecting, storing, exchanging and analysing health data, meaning it can be re-used a second time, and more, not only by the person who collected the information but also by other clinicians, researchers and health authorities.
We Convince
Why use and re-use health data?
We need to learn more from health data
Which treatments give the best results?
How do we improve care pathways?
Are new medicines safe?
Who should we screen for which diseases?
How are new viruses transmitted, treated?
Health data interplays in several fields, not only providing for the safe continuity of care to the individual patient, but also creating insights for optimizing the effectiveness of health systems and boosting research.
Individual level health data
Used for:
- individual health status monitoring
- personalised medicine
- safe continuity of care by multi-disciplinary teams of health and care professionals
Population level health data
Re-used for:
- quality and safety management
- improved care outcomes
- health care provider performance management & planning
public health surveillance & strategy
Big health data
Re-used for:
- epidemiology
- disease understanding, prevention and treatment
- innovations: new medicines & technologies, AI development
As a multi-stakeholder organisation, i~HD can leverage understanding and facilitate scaled-up, judicious data sharing and re-use.
Learn why health data is important for each stakeholder group
- Patient organisations
- Healthcare providers
- Health policy makers and funders
- Pharma and life sciences
- Standards and certification organisations
- Health ICT industry
- Academia and research centres
- Health and data strategy organisations
- Data-driven industry
Patients, caregivers, patient representatives, citizens and population health / prevention organisations
- When all your health professionals have access to your up-to-date health data, they are able to provide more efficient, higher quality, safer and more personalised care and care coordination.
- When you have access to your health data, you can better manage your own health.
- Health data provided to scientific research will speed up the development of new medical products and treatments for individuals who need them.
Judicious use of health data will boost healthcare providers’ ability to become learning health systems and facilitate:
- the delivery of safer evidence-based care and improve health outcomes
- a more efficient use of health care resources
- participation in more clinical research and allow for more inhouse research
By analysing great numbers of health data, health policy makers and funders can:
- give recognition to high-quality and value-based care
- better guide ongoing healthcare and prevention programmes
- improve public health strategy and plan for the future
Pharmaceutical and life science organisations are bringing health care research and innovation to a higher level through the analysis of high-quality real-world data and research data. They therefore:
- need to raise awareness of the importance of re-using health data
- demonstrate the trustworthiness and privacy-compliance of their own data handling and systems
- collaborate with data providers whose data and systems have been validated as well.
- The implementation of interoperability standards has become vital to facilitate the transfer of health data between health ICT systems and the sharing of health data for secondary use.
- Certification organisations perform audits so as to provide an objective evaluation of the trustworthiness or quality of health data or health ICT systems used by research platforms, health apps, governments, care professionals etc.
With a growing interest in sharing and re-using health data and the rise of new digital health technologies, the health ICT industry is challenged by an increased demand for value-added interoperable solutions for the trustworthy capture, management, exchange and analysis of high quality data.
With a growing interest in sharing and re-using health data and the rise of new digital health technologies, the health ICT industry is challenged by an increased demand for value-added interoperable solutions for the trustworthy capture, management, exchange and analysis of high quality data.
Health & data strategy organisations both rely on and provide operational and strategic advice, business intelligence, data warehouse services etc. to address a broad range of health care challenges. The quality of these services is generally directly linked to the presence and the trustworthiness of health data.
The growing importance of health data has led to new opportunities for the data-driven industry: wearables, AI, brokerage services … In order to gain wide-spread credibility and trust, this sector needs to meet strict requirements and produce evidence related to their trustworthiness and the quality of the data they use.