Imagine a GPS for doctors to find children who need special end-of-life care much earlier than they do now. It also creates a digital diary and planning tool for families to organize care and a virtual reality training camp for staff to practice these sensitive conversations. It's about making a very scary time more organized and supportive for everyone involved.
Healthcare systems struggle to identify children needing palliative care early, leading to poor quality of life and inefficient care coordination. There is also a significant gap in professional training for handling end-of-life care for young patients.
An Early Detection System (EDS) algorithm, a digital patient platform including needs assessment (HexComPed) and advance care planning (IMPACT) tools, and an XR-based training program for staff.
If you are a digital health provider dealing with fragmented patient data in chronic care — this project developed a Patient Digital Platform that integrates needs assessment and care planning. This allows for a more streamlined patient journey for the estimated 21 million children requiring this care globally.
If you are a simulation company dealing with the lack of soft-skills training for clinicians — this project developed an XR-based capacity-building program. This provides a scalable way to train professionals in palliative care communication.
If you are a hospital network dealing with late identification of palliative needs — this project developed an Early Detection System (EDS) algorithm. This helps clinicians identify high-risk patients sooner to improve quality of life.
Based on available project data, no specific pricing or cost-per-unit information is provided; however, the project aims to evaluate cost-effectiveness.
Yes, the project includes a scale-up strategy to ensure sustainability and is being tested across 5 clinical sites in 5 different European healthcare systems.
Based on available project data, specific licensing terms are not mentioned, but the project involves 6 industry partners and 4 SMEs who typically manage such assets.
The project has identified technical requirements to integrate the Early Detection System and is currently assessing the feasibility of different integration methods.
The project period runs from 2023-12-01 to 2028-05-31, with the first 18 months focused on design and protocol development.
The consortium is well-balanced for commercialization, featuring a 32% industry ratio with 6 industry partners and 4 SMEs. The mix of 19 entities across 10 countries, including 5 clinical sites and 3 technological partners, suggests a strong pipeline from clinical validation to technical implementation.
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