Evidence map›Paper›PMID 41729860›Full record

ArticlePLoS computational biology2026

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

Lucia Sacchi, Blaž Zupan, Silvana Quaglini

Abstract read
In one paragraph

Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Lucia SacchiDepartment of Electrical, Computer, and Biomedical Engineering, University of Pavia, Pavia, Italy.ORCID https://orcid.org/0000-0002-1390-9825
Blaž ZupanFaculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia.
Silvana QuagliniDepartment of Electrical, Computer, and Biomedical Engineering, University of Pavia, Pavia, Italy.ORCID https://orcid.org/0000-0002-4288-2561

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Digital HealthClinical Trial Protocols as TopicEuropean UnionHumansTechnology Transfer

Identifiers

PMID41729860
PMCPMC12928387

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.