Telefónica Tech has expanded its deployment of clinical decision support software across Spain's regional health services, partnering with global healthcare technology company Harrison.ai to help doctors rapidly prioritise urgent cases. The AI tool analyses chest X-rays for up to 124 clinical findings, including pulmonary nodules that could indicate lung cancer, giving clinicians a faster second opinion without replacing their final say on diagnosis and treatment.
Training and Certification Standards
According to Harrison.ai, the algorithm was trained on data from more than 780,000 chest X-ray studies, with at least three qualified radiologists independently labelling each study during development.
The system holds Conformité Européenne (CE) IIb medical device certification, representing the highest level of assurance for diagnostic support tools in the European Union and permitting use in potentially lethal health conditions. It confirms compliance with EU legislation governing safety, efficacy and quality for medical devices.
How the System Works
Healthcare professionals can access AI-generated insights through a standard web browser. The technology provides a rapid second opinion on chest X-ray findings, while medical staff retain final authority on patient diagnoses and treatment decisions.
The system functions as a clinical decision support tool rather than an autonomous diagnostic device. Clinicians in accident and emergency departments or primary care units can also use the software to filter cases and identify which patients may require specialist referral.
Integration with Existing Infrastructure
The AI tool integrates directly into existing healthcare IT systems and radiologists' workflows. According to Telefónica Tech, this approach allows customisation to match technical and clinical requirements, and lets radiologists categorise cases by urgency, prioritising time-critical patients within their existing patient lists.
"The incorporation of AI into radiology represents a significant step towards more effective and efficient healthcare models, in which technology becomes an ally of healthcare professionals to deliver faster, more accurate and personalised care."— Carlos Martínez, Head of Data and AI, Telefónica Tech
