Imagine a hospital's most critical ward where doctors often struggle to balance life-saving treatment with patient comfort. This project creates a digital support system and training program to help staff identify when to shift focus toward relieving pain and distress. It uses remote expert counseling to bring specialist knowledge to hospitals that don't have their own palliative care teams.
ICUs often provide aggressive life-prolonging treatment even when it is not beneficial, leading to high costs and patient distress. There is a critical shortage of palliative care experts available to guide these decisions in real-time.
A practice model including a patient identification checklist, a tele-palliative counseling system, a blended learning program for staff, and a patient decision aid.
If you are a telemedicine platform provider dealing with low adoption of specialized care modules — this project developed a tele-palliative counseling model that connects ICU clinicians with remote experts. This provides a proven use-case for expanding specialized medical services via digital tools.
If you are a medical training company dealing with a lack of specialized ICU curricula — this project developed a blended learning program for nurses and physicians. This content can be used to create certified training modules for critical care staff.
If you are a private hospital group dealing with high ICU costs and long patient stays — this project developed a practice model aimed at a reduction in ICU stay to relieve suffering. This can lead to better resource allocation and cost effectiveness.
Based on available project data, the specific price is not listed, but the project describes telemedicine as a low-cost solution to spread the model across Europe.
Yes, the project uses a multicentre trial across 7 clinical centers in 5 countries and 23 ICUs, demonstrating a scalable model for European healthcare systems.
The project aims to provide a refined and open access version of the EPIC model and training, suggesting a non-proprietary distribution strategy.
It integrates via a trigger checklist for patient identification and a blended learning program for existing ICU nurses and physicians.
The project period runs from 2024-01-01 to 2028-12-31, indicating a multi-year development and testing phase.
The consortium is heavily academic, consisting of 9 universities and 2 research institutions. However, it includes 1 industry partner and 1 SME, indicating a small but present bridge to commercialization. With 15 partners across 9 countries, the project has strong cross-border validation capabilities, which is critical for health-tech scaling in the EU.
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