BigData Heart project puts forward a framework to enhance the reliability and quality of studies that use healthcare data

The launch of this multi-stakeholder framework - The CODE-EHR Minimum Standards Framework - aims at improving clinical research using real-world data.

The intent of this project is to overcome the existing obstacles to the structured use of evidence generated from healthcare data for clinical research (i.e. concerning verification, validation and data privacy). In order to do so, the framework aims at providing researchers with practical guidance on how real-world data can be applied to research while making sure suitable governance and transparency are ensured.
This is an exciting piece of news for the in silico medicine community considering the potential of real-world evidence for modelling and simulation. It additionally highlights the increased EU support for and funding of projects related to computer-modelling and simulation.

Key highlights

  • The CODE-EHR framework set forth minimum standards for five key areas: data set construction and linkage; data fit for purpose; disease outcome and definitions; analysis; and ethics and governance.
  • The framework has been put forward by the EU- and industry-funded BigData Heart project supported by the Innovative Medicines Initiative. The initiative, which will end in February 2023, employs cutting-edge statistical, machine learning, and data mining techniques to enhance patient outcomes and reduce the societal burden of acute coronary syndrome, atrial fibrillation, and heart failure.


Date: 22/09/2022 | Tag: | News: 1360 of 1368
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