Both PERSIST and GenoMed4ALL required integration of multi-source clinical data (big data, genomics, patient records) into usable software for healthcare providers.
DH HEALTHCARE PROVIDER SOFTWARE SPAIN SLU
Spanish healthcare software company building clinical AI platforms for cancer survivorship and genomic medicine across federated European hospital networks.
Their core work
DH Healthcare Provider Software is a Spanish digital health company that builds software platforms for clinical data management, patient care coordination, and AI-driven decision support in healthcare settings. Their work in EU research projects focuses on integrating heterogeneous medical data sources — including genomic, clinical, and patient-reported data — into interoperable systems that healthcare providers can use without compromising patient privacy. They bring healthcare IT infrastructure expertise to research consortia, translating clinical workflows and data standards into working software. Their involvement in both cancer survivorship care planning and haematological genomics positions them as a builder of real-world clinical tools grounded in research outcomes.
What they specialise in
GenoMed4ALL explicitly applies federated learning to genomic and multi-omics data, allowing AI model training across institutions without centralizing sensitive patient data.
PERSIST focused on building personalised survivorship care plans post-cancer treatment using big data and AI, requiring both clinical pathway expertise and software delivery.
Privacy, security, ethics, and interoperability appear as explicit keywords in PERSIST; federated architecture in GenoMed4ALL is itself a response to data-sharing constraints.
GenoMed4ALL applies multi-omics and genomics data to haematological diseases, representing a new domain entry for the organisation from 2021 onward.
How they've shifted over time
Their H2020 participation started around patient-facing software — survivorship care plans, interoperability between care systems, and GDPR-compliant data sharing — reflecting the kind of work a healthcare software vendor does when joining clinical data projects. The shift to GenoMed4ALL marks a move into more technically demanding territory: genomics, multi-omics data pipelines, and federated learning architectures that allow AI to run across hospital silos without data leaving each site. The underlying capability — building software that handles sensitive medical data across institutional boundaries — is consistent, but the complexity and scientific depth of the data they are processing has increased significantly.
They are moving toward privacy-preserving AI infrastructure for genomic medicine, suggesting future collaborations will likely involve multi-site clinical AI, federated data networks, or personalised medicine software deployment.
How they like to work
DH Healthcare Provider Software participates exclusively as a consortium partner, never as a coordinator, which is typical for a commercial software provider embedded in research projects to build and deploy the clinical tools that researchers design. Their two projects both involve large, internationally distributed consortia (41 unique partners across 16 countries), suggesting they are comfortable operating in complex multi-stakeholder environments where they contribute a defined software delivery role rather than driving scientific direction. For a prospective partner, this means they are likely a reliable execution partner for the IT and software components of a project, not the organisation to lead a proposal.
With 41 unique consortium partners across 16 countries, DH Healthcare Provider Software has built a broad European network despite only two projects, indicating they joined large flagship consortia rather than small bilateral projects. No strong geographic concentration is visible from the data, pointing to pan-European rather than Iberian-focused collaboration.
What sets them apart
DH Healthcare Provider Software occupies a specific niche that is rare in research consortia: a commercial healthcare IT company that can translate research outputs into deployable clinical software while navigating GDPR, interoperability standards, and real hospital workflows. Most research partners are universities or public hospitals — a private software vendor that understands both the clinical domain and the technical constraints of real-world deployment adds a commercialisation pathway that funders expect but is often missing from academic-led consortia. Their participation in both oncology and haematology genomics also means they are not limited to a single disease area, which broadens their relevance for future health technology projects.
Highlights from their portfolio
- GenoMed4ALLThe largest project by funding (EUR 782,325) and the most technically advanced, combining multi-omics data, federated learning, and AI for rare haematological diseases across multiple European clinical sites.
- PERSISTAn early entry into AI-driven personalised care planning for cancer survivors, demonstrating the organisation's ability to handle sensitive longitudinal patient data and map complex clinical pathways into software.