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Ten simple rules for coordinating a large digital health project: Perspectives from EU and implications for global
Lucia Sacchi1, Blaž Zupan2,3, Silvana Quaglini1
1Department of Electrical, Computer, and Biomedical Engineering, University of Pavia, Pavia, Italy.
Leading large digital health projects requires careful planning. This guide offers ten practical rules for coordinating international biomedical research, focusing on AI and telemedicine for cancer patient care.
Area of Science:
- Digital Health
- Biomedical Research
- Artificial Intelligence (AI)
- Telemedicine
Background:
- Coordinating large-scale digital health projects involves complex scientific, administrative, and interpersonal challenges.
- International collaborations in healthcare and IT present unique hurdles due to diverse partners and working practices.
Purpose of the Study:
- To provide practical guidance for successful coordination of multi-partner biomedical research projects.
- To share lessons learned from leading the CAPABLE European Horizon 2020 project.
Main Methods:
- Drawing upon experience from a European Horizon 2020 project (CAPABLE) focused on AI and telemedicine for cancer patients.
- Developing ten practical rules for navigating challenges in large-scale digital health initiatives.
Main Results:
- Identification of key challenges in multi-partner biomedical research, including consortium building, timeline management, regulatory compliance, and cultural alignment.
- Strategies for ensuring long-term impact through effective dissemination and exploitation of research outcomes.
Conclusions:
- Successful coordination of international digital health projects hinges on a blend of scientific leadership, administrative efficiency, and interpersonal sensitivity.
- The presented rules aim to enhance the likelihood of success for future large-scale digital health initiatives.
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