Imagine if doctors could see exactly how a patient lives and struggles at home, rather than just relying on a 15-minute clinic visit. This project builds a system to collect health data from apps and wearables and turns it into useful evidence. It's like giving medical designers a real-world diary of a patient's life to make better tools and treatments.
Patient health data from wearables and apps is currently fragmented and underutilized. This prevents doctors from making fully informed treatment choices and stops device manufacturers from designing products that meet real-world patient needs.
A platform and data translation system that converts patient-generated health data into actionable evidence for clinical use.
If you are a wearable health tech developer dealing with low user adoption or poor product fit — this project developed a data gathering system that improves medical device design based on actual patient preferences and experiences.
If you are a drug developer dealing with slow market entry for new therapies — this project developed a method to use patient-generated evidence that facilitates faster market entry of cost-effective integrated care solutions.
If you are an m-Health app provider dealing with fragmented data that doesn't help doctors — this project developed a platform that integrates patient data to advance treatment selection in 5 different disease areas.
Based on available project data, no specific pricing or cost details are provided.
The project tests its approach across 10 use cases in at least 5 different disease areas, suggesting a design intended for broad clinical adoption.
Based on available project data, specific licensing terms are not mentioned, though it involves a consortium of 28 partners including 9 industry members.
The project focuses on integrating fragmented patient-generated health data from m-health and e-health technologies into a smart platform for clinical use.
The project period runs from 2023-12-01 to 2028-11-30, indicating a multi-year development and testing cycle.
The consortium is well-balanced for commercialization, featuring 28 partners with a 32% industry ratio (9 companies). The inclusion of 4 SMEs and a mix of 7 universities and 9 research centers across 9 countries suggests a strong pipeline from academic research to industrial application.
Contact Universidad Politecnica de Madrid
Contact us to connect with the IMPROVE consortium for pilot opportunities.
