DECIDEhealth—Creating and implementing tools for data-driven decision making for prevention and health and social care delivery using microsimulation and modular eHealth system
Active
9/2024 ⟼ 8/2029
The aim of the project is to create tools for effective decision-making on prevention and provision of health and social care in the Czech Republic and for interventions aimed at reducing the incidence of civilisation diseases. The project is based on social science methods and knowledge. The key elements are the adaptation of the dynamic microsimulation model Future Elderly Model (FEM) for the conditions of the Czech Republic and the creation of a modular eHealth system for the development of eHealth programmes. The first objective of the project is to improve the predictive potential of the FEM model by implementing machine learning features and to extend the model to include analysis of administrative data and neurodegenerative diseases. The second objective is to develop and validate a modular eHealth system and selected eHealth programs to support the health status of different population groups and collect data related to their health and behavior.
Our role in the project is to develop various LLM-powered, personalised content creation and delivery services supporting the second objective of DecideHealth.