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A European common data model for cancer
IDEA4RC aims at building a rare cancer data space that facilitates re-using data collected in clinical settings to advance research on these diseases. A core challenge in this endeavour is that of defining a minimal set of clinical concepts to include in the data space and determining how to logically connect these concepts- this is…
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Federated learning in health research: interview with Frank Martin
In building its rare cancers ecosystem, IDEA4RC is following a federated learning approach. This means that the data of each clinical centre participating in a specific research study will not leave the centre. Instead, the results of the analysis on each centre’s data will be communicated to a central server, where they will be combined…
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Impact of HL7 FHIR in digital healthcare ecosystems for chronic disease management
Reviewing the scientific and gray English literature from 2017 to 2023, the authors ended up with 93 scientific papers on the employment of HL7 FHIR for chronic disease management and 35 HL7 FHIR Implementation Guidelines on the same topic. They concerned primarily cancer (45%) cardiovascular diseases (more than 15%) and diabetes (almost 15%). Articles come…
Intelligent ecosystem to improve
the governance, the sharing,
and the re-use of health data for rare cancers