Infobanco
The project Health Data Architecture for Learning, INFOBANCO, aims to develop a regional network architecture for data for health system learning. It is conceived as a standardised repository of health data, combining information derived from different clinical as well as research and administrative systems. The project is meant to be of use in care improvement and innovation, value-based health care (VBHC), biomedical research and other secondary applications.
This architecture is intended to function as a platform that provides services to clinicians, managers, and researchers, making it possible to combine data from multiple sources. It shall be equipped with tools for data governance, collection, transformation, interrogation, visualisation, and analysis to obtain knowledge and support decision making. The quality of the data and the validity and usefulness of this INFOBANCO architecture is to be evaluated.
lNFOBANCO will allow the combination and joint exploitation of health data from different sources of the Madrid Ministry of Health and/or the Madrid Health Service (SERMAS) for secondary use from the different levels of care (primary care, hospitals, emergencies, pharmacy) with both an individual perspective, in the field of personalised and precision medicine, and a population and public health perspective.
Watch the video of the technical workshop of the PMC
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millons euros for Phase 1
The project has a total budget for Phase I of €2.5 million (R&D&I Phase), under the collaboration agreement signed by the Ministry of Health of the Community of Madrid and the Ministry of Science and Innovation in December 2020, within the framework of the Line of Promotion of Demand-Side Innovation (FID) of the third call for proposals) to promote the Public Procurement of Innovation (PPI) in health services.
INFOBANCOis 50% co-financed by the European Regional Development Fund (ERDF),through a grant awarded by the Ministry of Science and Innovation ,which is part of the Pluri-regional Operational Programme of Spain (POPE) 2014-2020. It reinforces the Community of Madrid’s commitment to this instrument to continue modernising the Administration and improving public services for citizens. It also favours business competitiveness and strengthens public-private collaboration.
This project will run from 25 September 2019 through 30 June 2023.
General objectives
Develop a regional health data network architecture (Infobanco), conceived as a standardised repository of health data, combining information generated from different sources, including clinical, administrative and research systems. This architecture will operate as a platform that provides services to clinicians, managers, and researchers, and will be equipped with tools for data governance, collection, transformation, interrogation, visualisation and analysis to obtain knowledge and support decision making.
Specific objectives
To design a functional and technological architecture, based on the state of the art, that allows to respond to the proposed objectives.
Implement the designed architecture in one or more SERMAS hospitals that meet the requirements laid out in the project.
Evaluate the health data platform for general dimensions of quality: uniqueness, completeness, consistency, multi-origin stability, and accuracy.
Determine the validity of the human health data platform, versus the manual registry considered the “gold standard.”
Quantify the usefulness of the health data platform in research, knowledge generation and care improvement.
Expected results
INFOCAMwill allow the creation of platforms with technological solvency that allow the collection and provision of data for different purposes, with scientific relevance, complying with security and confidentiality requirements, according to ethical guidelines and if socially accepted.
The solution provided will consist of the creation of a health data network, which combines information from different sources, both from clinical and administrative systems.
- More precise identification of the different procedures used in the social healthcare sector by having better information available.
- The reduction of unnecessary duplicate testing through information obtained from mining large databases with real-world information.
- Enhanced diagnostic accuracy with consequent improvement in the efficiency of health care delivery.
- Increased quantity and quality of information will result in more efficient treatment with a consequent reduction in hospitalisations and improved efficiency in the sector.
- Increased real-time visibility of operations, patient experience and feedback, and the behaviour of different agents.
- It will advance the system’s intelligence and, therefore, the quality and accuracy of decisions to be made.
- It will improve the user experience: greater availability of medical assistance; access to history, analysis and test results; possibility of early diagnosis and treatment of diseases, etc.
- Healthcare professionals will be able to better detect, better predict, better alert, better relate and better catalogue information.