The Community of Madrid has completed the Public Procurement of Innovation (PPI) process for the Medigenomics, Infobanco and Integracam projects, three lines of work that began in the last quarter of 2020 with the goals of advancing digitalization, artificial intelligence and technology applied to healthcare.

The Regional Ministry of Health, through the Directorate General for Research, Teaching and Innovation, has managed the projects with the aim of attracting talent to continue the progress and advancement of healthcare in Madrid.

More than 226 experts from the Consejeria de Sanidad, health centers, and in particular from the Fundación para la Investigación Biomédica del Hospital Universitario La Paz in the Medigenomics project, from the Fundación para la Investigación Biomédica del Hospital Universitario 12 de Octubre in the Infobanco project, and from the Fundación para la Investigación e Innovación Biosanitaria de Atención Primaria and the Hospital Universitario de Getafe for Integra-Cam participated in these projects. Experts from biotechnology innovation and healthcare technology companies, as well as consulting firms, among others, have also collaborated.

More than 350 people attended today, including both on-site and online participants, at the conference held at the Hospital La Paz “Building the present and future of innovation in healthcare” with the aim of learning in detail about the development process of these three innovative projects launched through the European Regional Development Funds (ERDF), which have co-financed their implementation with the Community of Madrid.

Through the CPI model, it has been possible to showcase innovative projects to the rest of the world. European and international talent has been attracted and ERDF funding has been secured for their development in a tight timeframe.

Patient-centered innovation

Medigenomics functions as an innovative, expert and integrated technological platform that combines the entire genomic study process of an individual. This can improve the efficiency and effectiveness of diagnosis and decrease sample handling. This project is the result of the experience of professionals from the Fundación para la Investigación Biomédica de La Paz, who have analyzed, compiled and stored genomic information, with the possibility, nonexistent until now, of keeping it updated as new knowledge on the subject arises.

Infobanco has been developed by bringing together the experience of the Fundación para la Investigación Biomédica del 12 de Octubre and Primary Care in the field of clinical data standardization. It is conceived as a standardized repository that combines information generated from different sources, such as clinical, administrative or research systems. This will improve data knowledge and clinical decision making, innovating with a unique architecture in Europe adapted to international interoperability standards, which will make it easier for professionals to make clinical decisions.

Integra-Cam was born from the research experience of the Hospital de Getafe and Primary Care. It is a personalized training program that facilitates home care for the pre-fragile patient and their caregiver, all with the aim of improving the intrinsic capacity of the elderly, reducing disability and allowing them to gain autonomy and live independently. It enables a comprehensive care model in which all relevant actors are connected: patients, caregivers and health professionals from both primary care and hospital and especially geriatric services.

These three projects, developed over the course of just over two years, support decision making with patients and value-based healthcare, as they propose solutions to problems such as aging, the need for more integrated and coordinated care, personalized medicine, the need for decision support systems for healthcare professionals, and the need for standardization and access to healthcare data, not only to ensure healthcare, but also to facilitate the use of data for research and innovation, as envisaged in the future European data space.