A regional authority is commissioning an AI system to support hospital doctors in identifying patients at risk of heart disease, adding to a wave of digital diagnostics.
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A regional digitalisation department in Spain has launched a contract for the development of an Artificial Intelligence system to assist in diagnosing patients at risk of heart diseases, starting with a pilot at Ramón y Cajal University Hospital. The move highlights how public buyers are beginning to commission bespoke AI tools to support clinical decisions in high‑risk specialties.
The Consejería de Digitalización published the contract notice on 17th November 2025. It is seeking a supplier to build an AI system that will help clinicians identify patients at risk of heart diseases, rather than replace medical judgement. The emphasis on “assistance” positions the tool as clinical decision support, not an autonomous diagnostic system.
The work is framed explicitly as development, signalling a requirement to design and build the AI system rather than simply install an off‑the‑shelf product. The authority is therefore looking for a partner capable of creating an application tailored to its needs, rather than only integrating an existing commercial solution.
A pilot phase at Ramón y Cajal University Hospital is central to the plan. Testing the system in a university hospital environment should allow the authority to see how the AI behaves in routine care and how clinicians interact with it before deciding on any broader deployment. The notice does not yet set out the technical architecture, data sources or evaluation metrics, leaving those details to future documentation.
Cardiovascular care is emerging as a distinct strand within public‑sector AI procurement. In September 2025, the University of Edinburgh issued a contract notice for Heart Attack Diagnosis Software, seeking a supplier to develop a production version of its existing tool. The specification calls for expertise in medical device software development and adherence to regulatory standards, underlining how cardiac AI is moving from research prototypes towards regulated clinical products.
In July 2025, the Emergency Heart Institute for Cardiovascular Diseases in Cluj‑Napoca tendered for an integrated IT infrastructure system and storage solutions, aiming to strengthen patient safety, interoperability, accessibility and IT security. While not an AI tool in itself, this kind of digital foundation is a prerequisite for deploying data‑intensive diagnostic systems such as the Spanish heart disease project.
Stroke prevention is receiving similar attention. In July 2025, the Agència de Qualitat i Avaluació Sanitàries de Catalunya launched a contract for AI Solutions for Stroke Prevention, focused on using AI to enhance diagnosis and follow‑up. The clustering of tenders around heart attack, stroke and broader cardiac risk suggests that cardiovascular care is becoming a key test bed for AI‑assisted diagnosis.
Imaging is another area where AI diagnostics are spreading quickly. On 10th November 2025, Spital Clinic Județean de Urgență "Pius Brinzeu" Timișoara published a contract for an AI Medical Software for Imaging, a module to automatically analyse chest X‑rays and lung CT scans. In July 2025, Malta’s Department of Contracts went to market for the Supply of AI Diagnosis Systems in mammography, including licences, computers and monitors for hospitals in Malta and Gozo.
Radiology at scale is also on the agenda in Spain. On 17th September 2025, the economic management and infrastructure directorate of the Conselleria de Sanidad signalled plans to procure AI Software Licenses for Radiology to support diagnosis of thoracic and bone injuries, with integration, regulatory compliance, training and support explicitly in scope. And in November 2025, NHS England issued a prior information notice on AI Software for Lung Cancer Analysis, using market consultation to shape its commercial strategy for chest X‑ray analysis in primary care referrals.
Ophthalmology is another specialty seeing AI‑enabled diagnostics. In May 2025, the Servicio Riojano de Salud tendered a Robotic Ophthalmological Diagnostic Service using AI to support ophthalmologists at San Pedro University Hospital. By October 2025, the Departamento de Salud Alicante was seeking a provider for an Ophthalmological Diagnostic Tests Service, planning around 7,000 AI‑based tests a year at Alicante General Hospital. Taken together, these initiatives show AI‑supported diagnostics spreading across multiple clinical domains alongside the new heart disease project.
Beyond specific imaging tasks, several buyers are procuring AI to support broader clinical decisions. In September 2025, Klinikum Magdeburg gGmbH issued a contract for an AI‑Powered Clinical Decision Support system aimed at improving treatment quality and patient safety in inpatient care. On 31st October 2025, Poland’s Instytut Matki i Dziecka tendered for IMID System Expansion and an AI Module to summarise treatment history within electronic medical records under a national recovery and resilience project.
The human side of AI adoption is also being tackled. In May 2025, ANFH in France launched a contract for Training Services for AI Integration, designed to help hospital management and practitioner teams integrate AI into their organisations. A month later, Université Côte d'Azur sought a supplier to build a prototype Computer-Assisted Teaching System using intelligent tutoring to strengthen medical students’ skills in patient relationships.
Whole‑system digital health transformation is visible in several national‑level tenders. In July 2025, SPITAL GENERAL C.F. SIMERIA in Romania issued a contract for a Digital System for Healthcare, an integrated eHealth and telemedicine platform funded by the National Recovery and Resilience Plan. That same month, Italy’s Consip S.p.A. went to market for Digital Health Services, seeking application and support services for data governance and AI across public administrations in the national health service.
New platforms that place AI at the core of data handling are also emerging. In July 2025, a medical university in Bulgaria tendered for a Web-Based Medical Data System using AI technologies for analysing and interpreting medical data, with functions for visualisation, processing, management and integration with external systems. On 30th July 2025, the Servicio Gallego de Salud sought Support Services for Diagnosis based on decision‑support algorithms and a generative AI platform, funded by the European Union’s Recovery, Transformation and Resilience Plan.
Several buyers are adopting a phased deployment model for AI, echoing the pilot at Ramón y Cajal University Hospital. The Medizinischer Dienst Rheinland‑Pfalz, for example, is procuring an AI Tool for Report Generation to transcribe audio into structured reports, with clearly defined proof‑of‑concept, implementation and potential roll‑out phases.
AI is also being applied to non‑clinical and cross‑sector use cases. In July 2025, Beaumont Hospital in Ireland sought an AI System for Outpatient Attendance to predict appointment cancellations and no‑shows. Spanish regional authorities are exploring AI beyond health, from Castilla y León’s project on AI Development for Cultural Heritage management systems to Asturias’s planned AI Coordination System for Assistance that will orchestrate virtual agents for intergenerational support. The heart disease project from the Consejería de Digitalización sits within this broader public‑sector turn towards AI‑enabled services.
The Spanish heart disease AI contract remains at an early stage. The brief notice does not yet describe the model types, clinical pathways or performance thresholds that will apply during the Ramón y Cajal pilot. Any future public documentation, such as detailed technical specifications, will be crucial in showing how the authority intends to balance accuracy, explainability, regulatory compliance and integration with hospital systems.
For suppliers, the clustering of tenders around cardiovascular care, imaging diagnostics and clinical decision support signals sustained demand for AI systems that can be embedded into existing workflows rather than operated in isolation. For public buyers, the key question is how pilots like the Ramón y Cajal deployment can evolve into scalable, interoperable services across wider health systems.
As more AI‑enabled diagnostic projects progress from consultation and prototype to production contracts, attention will turn to whether lessons, models and evaluation methods can be shared across institutions and borders. For now, the new contract from the Consejería de Digitalización adds a notable test case for how European health systems procure and govern AI designed to support clinicians in managing heart disease risk.
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