Updated on 11 September 2026
Hospital Virgen Macarena Data Analytics Unit
Project Manager and technician at Hospital Universitario Virgen Macarena
Seville, Spain
About
The Innovation and Data Analysis Unit of Virgen Macarena University Hospital focuses on the use of health data, digital technologies, and advanced data analytic approaches to support research, innovation, and high quality healthcare. We aim to improve patient health, support clinical decision-making, enhance the efficiency of healthcare services, and contribute to the sustainability of the healthcare system.
Our unit is in a unique position to both develop digital health solutions and exploit the clinical data generated within the hospital. We work closely with clinical services and research groups in the hospital and collaborate with Primary Care centres within our reference area. This combination of technological capabilities, access to real world healthcare data, and close collaboration with healthcare professionals enables us to develop and implement solutions that respond to real clinical and organisational needs. Our main lines of research are:
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Health Data Spaces and Secondary Use of Health Data: Participation in national and European initiatives such as OHSIRIS, IDERHA, and EUCAIM, focused on secure, federated access to health data for research and innovation.
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Real World Data exploitation: We are involved in multiple research projects focused on predictive modelling and data analysis in which we are leveraging the EHR data generated in our hospital (1.5 million patients) and our Regional Health System (10 million patients). Our unit also has significant expertise and dedicated tools for automatically linking socioeconomic and environmental exposure data from open data sources to individual patients based on their home address.
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Digital Health and Research Platforms: We have developed an internal platform to support biomedical research that enables electronic data capture, patient recruitment and follow-up, mobile health interventions, research data management, and secure processing of sensitive health data, including local AI/LLM capabilities.
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Gen-AI LLM applications in healthcare: We are working in LLM applications for healthcare both to inform patients and to aid clinical professionals in decision making and in their day to day activities.
Topic
- Healthcare innovations: HORIZON-MISS-2027-02-CANCER-04 Improving equitable health outcomes and added value for and with cancer patients through health-economics research, health systems research and outcomes research
- Clinical trials: HORIZON-HLTH-2027-02-DISEASE-01-two-stage Innovative healthcare interventions for non-communicable diseases
- Digital health and AI: HORIZON-HLTH-2027-02-TOOL-01-two-stage Development of predictive biomarkers of disease progression and treatment response by using AI methodologies for chronic non-communicable diseases
- Digital health and AI: HORIZON-HLTH-2027-03-TOOL-04 Virtual Human Twins (VHTs) for integrated clinical decision support in prevention and diagnosis
- Digital health and AI: HORIZON-HLTH-2027-03-TOOL-08 Towards Artificial General Intelligence (AGI) for healthcare
Similar opportunities
Project cooperation
Digital Health, AI, XR & Digital Twin Technology Expertise for Horizon Europe Health Projects
- Partner seeks Consortium/Coordinator
- Digital health and AI: HORIZON-HLTH-2027-03-TOOL-08 Towards Artificial General Intelligence (AGI) for healthcare
- Clinical trials: HORIZON-HLTH-2027-02-DISEASE-01-two-stage Innovative healthcare interventions for non-communicable diseases
- Clinical trials: HORIZON-HLTH-2027-02-DISEASE-14-two-stage Clinical trials for advancing innovative interventions for neurodegenerative diseases
- Clinical trials: HORIZON-HLTH-2027-01-DISEASE-10 Prevention and management of chronic non-communicable diseases in children and young people (GACD)
- Digital health and AI: HORIZON-HLTH-2027-03-TOOL-04 Virtual Human Twins (VHTs) for integrated clinical decision support in prevention and diagnosis
- Digital health and AI: HORIZON-HLTH-2027-02-TOOL-01-two-stage Development of predictive biomarkers of disease progression and treatment response by using AI methodologies for chronic non-communicable diseases
- Healthcare innovations: HORIZON-MISS-2027-02-CANCER-05 Pre-commercial procurement of affordable solutions for healthcare systems in the areas of cancer technologies, cancer medical devices, or cancer medicines
Dr. Holger Sprengel
Managing Director at DigitalTwin Technology GmbH
Cologne, Germany
Project cooperation
- Partner seeks Consortium/Coordinator
- Consortium/Coordinator seeks Partners
- Digital health and AI: HORIZON-HLTH-2027-03-TOOL-08 Towards Artificial General Intelligence (AGI) for healthcare
- Clinical trials: HORIZON-HLTH-2027-02-DISEASE-01-two-stage Innovative healthcare interventions for non-communicable diseases
- Healthcare innovations: HORIZON-HLTH-2027-01-CARE-02 Personalised approaches to reduce risks from Adverse Drug Reactions due to administration of multiple medications
- Healthcare innovations: HORIZON-MISS-2027-02-CANCER-05 Pre-commercial procurement of affordable solutions for healthcare systems in the areas of cancer technologies, cancer medical devices, or cancer medicines
- Healthcare innovations: HORIZON-MISS-2027-02-CANCER-04 Improving equitable health outcomes and added value for and with cancer patients through health-economics research, health systems research and outcomes research
Dariusz Rutkowski
General Director at Provincial Mental Health Hospital in Świecie, Poland
Świecie, Poland
Project cooperation
R&D with Provincial Mental Health Hospital in Świecie, Poland
- Partner seeks Consortium/Coordinator
- Consortium/Coordinator seeks Partners
- Digital health and AI: HORIZON-HLTH-2027-03-TOOL-08 Towards Artificial General Intelligence (AGI) for healthcare
- Clinical trials: HORIZON-HLTH-2027-02-DISEASE-14-two-stage Clinical trials for advancing innovative interventions for neurodegenerative diseases
- Digital health and AI: HORIZON-HLTH-2027-03-TOOL-04 Virtual Human Twins (VHTs) for integrated clinical decision support in prevention and diagnosis
- Healthcare innovations: HORIZON-HLTH-2027-01-CARE-02 Personalised approaches to reduce risks from Adverse Drug Reactions due to administration of multiple medications
- Digital health and AI: HORIZON-HLTH-2027-02-TOOL-01-two-stage Development of predictive biomarkers of disease progression and treatment response by using AI methodologies for chronic non-communicable diseases
Agata Milczewska
Deputy Director Provintial Mental Health Hospital in Świecie, Poland at Provincial Mental Health Hospital in Świecie, Poland
Świecie, Poland