Ten simple rules for coordinating a large digital health project: Perspectives from EU and implications for global contexts

Coordinating a large-scale digital health project requires a unique mix of scientific leadership, administrative skill, and human sensitivity. Drawing from our experience leading CAPABLE, a European Horizon 2020 project aimed at improving the quality of life of cancer patients through AI and telemedicine, we present ten practical rules for navigating the complex landscape of multi-partner biomedical research. These rules address challenges such as building balanced consortia, managing timelines and regulatory requirements, ensuring cultural alignment, and promoting long-term impact through dissemination and exploitation. The paper specifically addresses international research projects at the intersection of healthcare and IT and their peculiar challenges, typically connected to the interplay of different actors such as academics, healthcare personnel, and industry partners located in different countries, each from diverse backgrounds and different working practices. Our goal is to provide researchers and project coordinators with concrete guidance to increase the likelihood of success in future large digital health initiatives.

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Publication Details

Journal
PLoS Computational Biology
Published
2026-02-23
DOI
https://doi.org/10.1371/journal.pcbi.1013957
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Ten simple rules for coordinating a large digital health project: Perspectives from EU and implications for global contexts

Lucia Sacchi, Blaž Zupan, Silvana Quaglini
PLoS Computational Biology
Artificial Intelligence in Healthcare and Education
article

Ten simple rules for coordinating a large digital health project: Perspectives from EU and implications for global contexts

Lucia Sacchi, Blaž Zupan, Silvana Quaglini
article en

Abstract

Coordinating a large-scale digital health project requires a unique mix of scientific leadership, administrative skill, and human sensitivity. Drawing from our experience leading CAPABLE, a European Horizon 2020 project aimed at improving the quality of life of cancer patients through AI and telemedicine, we present ten practical rules for navigating the complex landscape of multi-partner biomedical research. These rules address challenges such as building balanced consortia, managing timelines and regulatory requirements, ensuring cultural alignment, and promoting long-term impact through dissemination and exploitation. The paper specifically addresses international research projects at the intersection of healthcare and IT and their peculiar challenges, typically connected to the interplay of different actors such as academics, healthcare personnel, and industry partners located in different countries, each from diverse backgrounds and different working practices. Our goal is to provide researchers and project coordinators with concrete guidance to increase the likelihood of success in future large digital health initiatives.

PLoS Computational BiologyVol. 22(2)
University of Ljubljana (SI), Baylor College of Medicine (US), University of Pavia (IT)
Partnerships for the goals
Openalex Percentile: Top 47%
Artificial Intelligence in Healthcare and Education
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