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Scaling up the health ecosystem

Working together to maximise the benefits from health data

All stakeholders need to collaborate in scaling up the learning from health data, working together to collect, curate, share and analyse data across care and research, for the benefit of all.

Make trustworthy decisions on real world evidence

  • Focus health systems on patient outcomes
  • Empower patients to manage their care
  • Promote better data quality
  • Prove the reliability of mHealth apps
  • Promote good practices in data sharing
  • Implement big data infrastructures
  • Justify public support for health data reuse

Some of our projects and initiatives

i~HD engages in many projects and initiatives that bring stakeholders together to realise their value in collaborating, and to work on specific projects together that harness the power of health data. i~HD joins dots across the whole ecosystem

  • Data protection for AI-powered applications
  • Codes of conduct for big data
  • Data protection in research
  • Registries
  • Genomics
  • mHealth Programmes
  • Interoperability
  • Certifications
  • Standards adoption
  • Medicines safety in pregnancy
  • Promoting patient outcomes
  • Rare diseases
  • Quality labelling EHRs
  • Data Saves Lives: public understanding
  • Medicines adherence
  • Medicines identification
  • Data quality
  • Real World Evidence
  • mHealth

Data protection for AI-powered applications

Safeguarding data used for AI-powered care pathways supporting patients with advanced disease

Codes of conduct for big data

Developing codes of conduct for big data projects

Data protection in research

Defining best data protection practices for the research community

Registries

Harmonising data across disease registries

Genomics

Data protection for genomic information

mHealth Programmes

Developing a portal to share learning and practices in mHealth programmes

Interoperability

Bridging between research and healthcare standards

Certifications

Certifying clinical research platforms

Standards adoption

Engaging clinicians and industry in clinical data standards

Medicines safety in pregnancy

Working with industry and regulators on evidence for the safety of medicines in pregnancy

Promoting patient outcomes

Promoting a European ecosystem to collect and use patient outcomes

Rare diseases

Applying the GDPR to rare disease data

Quality labelling EHRs

Quality labelling electronic health record systems

Data Saves Lives: public understanding

Helping the public to understand why we all need to make more use of health data, its value and how this can be secure

Medicines adherence

Helping patients to understand their medicines and to take them regularly

Medicines identification

Promoting an international standard for the identification of medicines

Data quality

Assessing the quality of EHR data reused for clinical research

Real World Evidence

Promoting good practices in real-world evidence generation

mHealth

Developing good practices in the use of mobile health applications

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