Nearly half of the Spanish population now uses artificial intelligence to address health and wellness concerns, according to recent reports. While adoption is high, medical analysts warn that these AI-generated responses often lack accuracy and present significant clinical risks to users seeking medical guidance.
- High Adoption: Over 40%, and in some estimates nearly 50%, of people in Spain utilize AI for health-related queries.
- Precision Issues: AI-generated medical answers demonstrate limited accuracy.
- Patient Safety: Reliance on these tools creates relevant clinical risks for users.
How Many People Use AI for Health Queries?
Recent data indicates a surge in the use of artificial intelligence for health consultations in Spain. Reports show that more than 40% of the population leverages these tools to resolve doubts regarding their well-being. Some figures suggest this number climbs even higher, with nearly half of the population turning to AI for medical information.
This trend reflects a broader shift toward digital self-diagnosis, where users prioritize the speed and accessibility of AI over traditional clinical consultations for initial health inquiries.
Why AI Health Advice Carries Clinical Risks
Despite the popularity of these tools, the quality of the information provided is a primary concern for health professionals. According to medical analysts, AI responses in the health sector show limited precision, meaning the information provided may be incomplete, outdated, or factually incorrect.
This lack of accuracy translates directly into what experts call relevant clinical risk. In a medical context, clinical risk occurs when incorrect information leads a person to take an inappropriate action—such as using the wrong medication, ignoring a dangerous symptom, or delaying a necessary visit to a licensed physician.
Unlike a human doctor, AI lacks the ability to perform a physical examination or consider a patient’s complete medical history, which increases the likelihood of an inaccurate or dangerous suggestion.