Big Data in healthcare refers to large data sets collected periodically or automatically, which are stored electronically, reusable for the purpose of improving the performance of the healthcare system. This is the definition given by the European Commission regarding the use of Big Data in healthcare, one of the pillars of e-health or healthcare 4.0.
Within the Community Life Sciences, for 2021, it was decided to devote a chapter to deepening the benefits that a health care increasingly based on the use of Big Data can generate for the patient and for the overall efficiency of the system.
Among the topics that will be addressed, the opportunities of in silico simulation, or the reproduction of phenomena of a chemical biological nature through the use of algorithms and machine learning technology, instead of in a test tube (in vitro) or in a living being (in vivo).
Complementing this, we will discuss the importance of forming a strong skill base and ensuring a spread of Data Scientist and Data Analyst profiles to enable better management and coordination of Big Data.
The objective of this chapter will be to prepare some concrete proposals for the main stakeholders aimed at improving the competitiveness of Italy in the use of Big Data in healthcare, also by putting in place the best practices already present.
Among the confirmed speakers: Luca Emili (Chief Executive Officer, Insilicotrials), Mauro Ferrari (President and CEO, Dompé X-Therapeutics), Victor Savevski (Chief Innovation Officer and AI Center Director, Humanitas). The meeting will be moderated by Corrado Panzeri (Associate Partner & Head of InnoTech Hub, The European House - Ambrosetti).
Chief Executive Officer, INSILICOTRIALS
President and CEO, Dompé X-Therapeutics (DXT)
Chief Innovation Officer and AI Center Director, Humanitas
Associate Partner, The European House - Ambrosetti
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