TerminAI, the innovative project to optimize healthcare data management through Artificial Intelligence

Nowadays, the management, use and sharing of genetic data face multiple challenges, among others, due to the lack of unified clinical standards. This issue limits their potential for diagnostics, biomedical research and integration into advanced healthcare infrastructures. Initiatives such as the European Health Data Space (EHDS) and the AI Act seek to transform this scenario, promoting the safe, interoperable and ethical use of data.

In this context, the need arises to improve the management of genetic data, through initiatives such as mapping genetic data to standard clinical terminologies using artificial intelligence, enhancing its applicability in accurate diagnoses and personalized treatments.

This is the starting point for TerminAI, a project funded by the “Support for Innovative Business Clusters 2024” program of the Ministry of Industry and Tourism, which seeks to improve the accuracy and efficiency in the coding of clinical information through Artificial Intelligence.

Among the different activities, the aim is to improve the accuracy and efficiency in the coding of clinical information through Artificial Intelligence. The project uses natural language processing and machine learning to analyze clinical data, identifying patterns and concepts that map to SNOMED CT terms or other standard terminologies.

It also applies bioinformatics tools and incremental learning to process genetic data, improving disease diagnosis and prevention. In addition, it digitalizes informed consent forms to facilitate access and reduce errors due to manual writing.

TerminAI is also exploring the integration capabilities of these solutions with European infrastructures such as health data spaces, ensuring compatibility, secure exchange and compliance with European requirements.

Vicomtech is analyzing technologies to develop an AI-assisted clinical coding system. It is also investigating advanced algorithms such as NLP, machine learning and neural networks to ensure an adaptive and efficient system that optimizes clinical coding.

Vicomtech is also working on exploring synthetic generation (SDG) of genetic data, an innovative technology that allows the creation of artificial-genetic data representative of the population. This approach allows the privacy of individuals to be preserved while maintaining the quality and integrity of the original data.

By connecting the technologies developed at the center with these initiatives, it facilitates secondary use of data, fosters international collaboration, and contributes to the development of innovative medical solutions that drive the advancement of biomedical research.