IMPROVE Living lab
Data Dashboard V2
The IMPROVE project has taken another important step toward enabling value-based healthcare (VBHC) through digital innovation. The newly released Deliverable D3.8: Data Dashboard V2, led by the Universidad Politécnica de Madrid (UPM), presents the latest progress in the design and development of the IMPROVE dashboard — a central tool for collecting, analysing, and visualising patient-generated health data (PGHD).
Scientific, policies and practices development V1
This document serves as a starting point and guidance in outlining of the development, execution and creation of the scientific, policies and practices tracker. In upcoming deliverables of this series of deliverable we will provide more details on the technological aspects of the trackers and how the work can and will be automated.
Data dashboard V1
This document presents the definition and conceptualization of the IMPROVE dashboard, a core tool for implementing and monitoring Value-Based Healthcare (VBHC) principles across diverse use cases. It outlines a structured approach to ensure the dashboard aligns with project objectives, stakeholders’ needs, and specific requirements of the use cases.
Scientific, policies and practices development V2
This document is the second version of the development, execution, and creation of the scientific, policies, and practices tracker. In the future deliverables of this series of deliverable, we will provide more details on the technological aspects of the trackers and how the work can and will be automated, using Artificial Intelligence and Machine Learning methodologies, based on Language Learning Models, to trace updated state-of-the-art scientific methodologies, outcomes, and policies across the world. In order to train the Large Language Models first analyses need to be conducted in order to establish the correct framework and train the models subsequently.
