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Digital Health
Development of advanced platforms to improve healthcare and health research
Objectives:
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Develop an open-source patient-centred digital platform to improve accessibility to clinical trials for underserved and underrepresented populations (US/UR)
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Co-create and validate methodological approaches and tools and solutions for the digital transformation of healthcare
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Design specific training programmes for all actors involved and promote professionalism in this area
Current projects:
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Data Spaces and Artificial Intelligence
Promoting data interoperability within the framework of the European Health Data Space. AI and knowledge management projects
Objectives:
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Provide good quality and security to the data that we already have aggregated in the SERMAS data lake (Cloudera), as well as facilitate future intakes and extractions that may arise.
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Through the Data Office we want to promote the value, knowledge, security, privacy and excellent quality of data, so that we can encourage the use of these (secondary use).
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Create pipelines for transforming clinical data, ensuring their persistence and compatibility with the most widely used standards internationally (OMOP, OpenEHR, i2b2, …)
Current projects:
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OMICSPACE – Plataforma Federada para Datos Multimodales, financiado por el Ministerio para la Transformación Digital y de la Función Pública. (Programa Espacios de Datos Sectoriales)
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Integration of Genetic and Clinical Data
Integration of genetic, phenotypic and clinical data for personalized diagnosis and treatments
Objectives:
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Contribute to the establishment of a network for the diagnosis of rare diseases in children
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Application of Electronic Medical Records standards (minimum set of clinical data)
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Implement federated information exchange models.
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Application of automated tools to share and analyze genomic and clinical information (e.g.: Beacon)
Current projects:
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Environmental Impact on Health (Exposome Informatics)
Study of environmental factors (pollution, noise, pollen, temperature) and their relationship with chronic diseases and population health
Objectives:
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Develop explanatory and predictive epidemiological models at the La Paz University Hospital (HULP) to anticipate the impact of environmental phenomena, including climate change, on healthcare and hospital admissions.
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Evaluate the impact of environmental factors on chronic diseases such as respiratory, cardiovascular, Parkinson's, Alzheimer's and psychiatric disorders.
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Process exposome (environmental factors) and clinical data using public sensors and hospital information systems.
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Develop an AI model to predict demand in emergencies and improve resource planning.
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Create training and preventive programs for patients and family members, promoting participatory health.
Current projects:
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ExpoPaz - The environmental and climate change impact in the healthcare activity of the La Paz University Hospital, funded by the Carlos III Health Institute (Strategic Action in Health)