The Community of Madrid, through the Department of Digitalisation, is promoting the Regional Artificial Intelligence (AI) Cluster, a strategic initiative that seeks to consolidate the region as a European benchmark in digital innovation and technological transformation. Within this framework, a competition for emerging technology companies in the health sector was held, with 47 entries featuring AI-based solutions to improve the quality of care, resource management and the efficiency of the healthcare system.
At Delonia, we have had the honour of participating in this edition with an innovative medical diagnosis coding project based on the combined use of AI and ICD-11, with automatic conversion to ICD-10. Our system is designed to:
- Reduce the administrative burden on medical professionals by automating coding through diagnostic profile management.
- Improve the accuracy and standardisation of clinical records.
- Generate valuable information throughout the entire healthcare chain, facilitating epidemiological analysis, clinical decision-making, and efficient resource management.
Delonia’s project was recognised as one of the most outstanding initiatives, reaching the final stage and ranking among the last five finalists out of the 47 proposals submitted.
This recognition is even more significant given that it forms part of the Community of Madrid’s strategic vision for the application of AI in healthcare, which aims to move towards a more efficient, equitable and patient-centred system. This vision is structured around five main areas:
- Reducing bureaucracy by eliminating repetitive tasks so that doctors can devote more time to clinical care.
- Freeing up time by optimising care processes and reducing duplication of tasks.
- Equity and cohesion, ensuring that all patients, regardless of their location or circumstances, have access to healthcare services of the same quality.
- Coordination, improving data integration and communication between different levels and care services.
- Control of variability, ensuring that diagnoses and treatments maintain a consistent and safe standard throughout the healthcare network.
Delonia’s proposal, presented by José Luis Vilariño, fits naturally into these principles, providing a tool that not only facilitates medical work, but also harmonises diagnostic information, promotes equity in access to reliable data and improves coordination between the different actors in the healthcare system.
Although we did not win on this occasion, being among the finalists is an important recognition of our team’s work and the unique value of our proposal. It reaffirms our mission: to leverage AI and the most advanced technologies to simplify medical work and generate useful, accurate and accessible information that benefits patients, professionals and healthcare managers.
