Presentación
ADVANCED MEDICAL INFORMATICS RESEARCH LAB (LIMA)


lima@idipaz.es
Composition
Nombre
Cargo
Institución
Fernando Martín Sanchez
Subdirector Gerente
Hospital Universitario La Paz
Carlos María Elvira Martínez
Jefe de Servicio de Admisión
Hospital Universitario La Paz
Jesús Morente López
Enfermero I+D+i
Hospital Universitario La Paz
Mariana Díaz ALmirón
Científica de datos adjunta
Hospital Universitario La Paz
Óscar Ocampo Pérez
Técnico de Gestión de Sistemas y Tecnologías de la Información
Hospital Universitario La Paz
Rodrigo Torres García
Ingeniero de Datos
Hospital Universitario La Paz
Rosario María Torres Santos-Olmos
Médico especialista en Medicina Familiar y Comunitaria
Hospital Universitario La Paz
Susana Kalko Witruk
Investigadora Senior
Hospital Universitario La Paz
 
Strategic Goals
Medical informatics has been defined (AMIA) as the interdisciplinary field that studies and pursues the effective use of biomedical data, information, and knowledge for scientific research, problem-solving, and decision-making, driven by efforts to improve human health.

STRATEGIC GOALS

Transform data into useful knowledge to IMPROVE health research, clinical decision-making and the QUALITY OF LIFE of our PATIENTS.

  • Advanced health data processing: development of algorithms and techniques to handle large volumes of clinical and genomic data.
  • Annotation and normalization: use of standardized vocabularies to improve interoperability and data quality.
  • Decision support and visualization: intuitive tools that allow for more accurate clinical decisions.
  • 360° Patient Data Management: comprehensive management of genomic, phenotypic data and other risk factors (environmental, social and digital determinants of health).
Research Lines
  1. Digital Health
Development of advanced platforms to improve healthcare and health research
Objectives:
  • Develop an open-source patient-centred digital platform to improve accessibility to clinical trials for underserved and underrepresented populations (US/UR)
  • Co-create and validate methodological approaches and tools and solutions for the digital transformation of healthcare
  • Design specific training programmes for all actors involved and promote professionalism in this area
Current projects:
 
  1. Data Spaces and Artificial Intelligence
Promoting data interoperability within the framework of the European Health Data Space. AI and knowledge management projects
Objectives:
  • 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.
  • 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).
  • Create pipelines for transforming clinical data, ensuring their persistence and compatibility with the most widely used standards internationally (OMOP, OpenEHR, i2b2, …)
 
 
 
Current projects:
  • OMICSPACE –  Plataforma Federada para Datos Multimodales, financiado por el Ministerio para la Transformación Digital y de la Función Pública. (Programa Espacios de Datos Sectoriales)
 
 
  1. Integration of Genetic and Clinical Data
Integration of genetic, phenotypic and clinical data for personalized diagnosis and treatments
Objectives:
  • Contribute to the establishment of a network for the diagnosis of rare diseases in children
  • Application of Electronic Medical Records standards (minimum set of clinical data)
  • Implement federated information exchange models.
  • Application of automated tools to share and analyze genomic and clinical information (e.g.: Beacon)
Current projects:
 
  1. Environmental Impact on Health (Exposome Informatics)
Study of environmental factors (pollution, noise, pollen, temperature) and their relationship with chronic diseases and population health
Objectives:
  • 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.
  • Evaluate the impact of environmental factors on chronic diseases such as respiratory, cardiovascular, Parkinson's, Alzheimer's and psychiatric disorders.
  • Process exposome (environmental factors) and clinical data using public sensors and hospital information systems.
  • Develop an AI model to predict demand in emergencies and improve resource planning.
  • Create training and preventive programs for patients and family members, promoting participatory health.
Current projects:
  • 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)