Exploring the value case of the Personal Health Train
Date & time: 2 October 2018, 13:30 - 15:30 - Room: Flash
Dr. Marco roos
Prof. dr. Andre Dekker
The Personal Health Train (PHT) approach entails data analysis across distributed data sources without the explicit requirement to aggregate data in one physical data vault. Learning algorithms (trains) visit FAIR data stations connected in an internet of data. Access is strictly controlled by the owner of the data station and only outcome of the local analysis is carried on, while the data stay put. This approach allows data analysis across data sources that cannot be physically combined, due to privacy constraints or intellectual property barriers. In principle this allows inclusion of data to the level of one’s personal health data (hence: Personal Health Train), with the citizen in control over what trains may have access. This approach may have far-reaching consequences for the architecture of future (health) data systems.
In this workshop we will explore the value of the PHT concept by comparison of several independent implementations. Analysing these practical cases illustrates the power of the approach and how it could be valuable in your own situation. Generic aspects of the FAIR Data Train concept are discussed and translated also to other domains, such as the Agri&Food sector (e.g. Farm Data Train).
Wolfgang Wiessler (Manager Rapid Learning) Varian Medical SystemsWouter Franke van Zorginstituut Nederland
- All interested in next generation data analytics across sensitive data sources
- participants of organisations dealing with personal data, health data, or any other type of private data
- All interested to join the NL PHT Coalition.
DTL Conference 2018Registration website for DTL Conference 2018
DTL Conference 2018DTL Conference 20180.00EUROnlineOnly2019-01-01T00:00:00Z
Media PlazaMedia PlazaJaarbeursplein Netherlands