Enriching knowledge and enhancing care through health data

Updates i~HD Annual Conference

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KEYNOTE SPEAKER

Andrew Roddam

VP & Head Real World Evidence and Epidemiology, GSK

 
 
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KEYNOTE SPEAKER

Chuck Friedman

Professor of Learning Health Sciences, University of Michigan; Editor-in-Chief, Learning Health Systems Journal
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Pre-conference tutorials and workshops on GDPR, the EHDEN project and data quality will be held on Monday morning 19th. More details will be available soon.

 

Our mission

The mission of i~HD is to enable, coordinate, and accelerate the efficient development and deployment of interoperable and seamless eHealth solutions and research strategies, towards achieving best practices and sustainable integrated person-centred health care, to optimise health and wellness in Europe, and beyond. It aims to guide and catalyse the best, most efficient and trustworthy uses of health data and interoperability, for optimising health and knowledge discovery.

i~HD has been established to tackle areas of challenge in the successful scaling up of innovations that critically rely on high quality and interoperable health data. It specifically addresses obstacles and opportunities to using health data by collating, developing and promoting best practices in information governance and in semantic interoperability. It is helping to sustain and propagate the results of health information and communication technology (ICT) research that enable better use of health data, assessing and optimising their novel value wherever possible.

i~HD has been formed after wide consultation and engagement of many stakeholders to develop methods, solutions and services that can help to maximise the value obtained by all stakeholders from health data. It supports innovations in health maintenance, health care delivery and in knowledge discovery, while ensuring compliance with all legal prerequisites, especially regarding the insurance of patient’s privacy protection. It unites multiple stakeholder groups to ensure that future solutions serve their collective needs and can be readily adopted affordably and at scale.


Enabling the best and trustworthy uses of health data for care and research