Abstract
Key lessons learnt in the Synergy-COPD project, that aimed at a systems medicine approach to patients with chronic obstructive pulmonary disease (COPD), contributed to formulate the concept of multisource predictive modelling for enhanced clinical risk assessment described in the chapter. Further research and innovation developments in the field, as well as practicalities learnt during the process of digitalization of the regional health system in Catalonia have been main sources for the current report that aims to provide a summary description of the steps needed for implementation and adoption of a Learning Healthcare System.
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Acknowledgments
We acknowledge the support of the following projects: TRAJECTOME (ERAPERMED2019-108); JADECARE (UE/19/3HP/JA/951442) and FIS-Smart PITeS (PI18/00841); as well as AGAUR research groups (2009SGR911 and 2014SGR661), and CERCA Programme/Generalitat de Catalunya.
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González-Colom, R., Cano, I., Piera-Jiménez, J., Roca, J. (2023). Multilevel Modelling with AI: The Synergy-COPD Endeavour. In: Cesario, A., D'Oria, M., Auffray, C., Scambia, G. (eds) Personalized Medicine Meets Artificial Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-031-32614-1_10
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