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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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Informatics, climate change and health (Exposoma Informatics)
Research in the digital exposome is consolidating as a key tool for understanding how environmental factors (air pollution, noise, pollen or temperature) influence individual health, population health and the development of chronic diseases.
Study and analysis of the climate impact of digital technologies applied to healthcare, with special attention to the carbon footprint associated with AI, digital health and the technological infrastructures used.
Research through the principles of Green Digital, incorporating the use of digital technologies to solve environmental challenges and the design of algorithms, models and computational systems with energy efficiency and low environmental impact.
Objectives:
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To develop explanatory and predictive epidemiological models at Hospital Universitario La Paz (HULP) to anticipate the impact of environmental phenomena, including climate change, on healthcare and hospital admissions. Develop an AI model to predict demand in the emergency department and improve resource planning.
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Tools to calculate the net environmental impact of digitisation of healthcare processes and application of digital technology to contribute to sustainability and the SDGs.
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Assess the impact of environmental factors on chronic diseases such as respiratory, cardiovascular, Parkinson's, Alzheimer's and psychiatric disorders.
Translated with DeepL.com (free version)
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)