Ubikare, Multiverse Computing and Vicomtech's Q-CLINIC Receives the Ennova Health AI Prize, Announced 2 October 2026: Quantum-Inspired Language Models for Coding Clinical Notes in SNOMED CT and LOINC
A quantum-inspired language model for clinical coding
Quentir Medicine Monitor
Evidence-based insights for quantum medicine.
Much of what a hospital knows about its patients sits in free text. A discharge letter, a nursing note or a dictated consultation carries diagnoses, medications and test results in ordinary sentences, and someone has to turn those sentences into structured codes before the information can feed a registry, a quality report or a research query.
Three companies from the Basque Country say they are building a tool for that job. The health software company Ubikare leads Q-CLINIC with the research center Vicomtech and the quantum software company Multiverse Computing. According to a press release distributed through Europa Press on 2 October 2026, the project has received the Ennova Health prize of the Spanish medical and pharmacy titles Diario Médico and Correo Farmacéutico, in the category of artificial intelligence and data management. According to the partners, the system combines quantum-inspired compression of large language models with an extraction pipeline that codes clinical entities using SNOMED CT and LOINC, with HL7 FHIR for data exchange.
The prize was collected by Ángel Díez, chief executive and founder of Ubikare, Gorka Unamuno, head of innovation and strategic alliances at Multiverse Computing, and Gonzalo López, business development manager for digital health and biomedical technologies at Vicomtech. The project is funded by the Basque Government through the Smart Industry Quantum Technologies 2025 program of the regional development agency SPRI. The stated goal is to cut the administrative time of healthcare professionals by up to 40 percent.
For a hospital information officer or a clinical coding manager, the interest lies in two promises: a language model small enough to run on the hospital's own servers, and output that arrives already mapped to the terminologies and exchange formats the hospital uses. Both deserve a close reading, because the public material so far describes an approach and a goal and reports no test results.