AI · Health and care
How to use AI to understand your test results
AI can explain the terms in your test results and help prepare questions for your appointment. The professional interprets results and decides treatment.
bairogonzalez.com team, drawing on Bairo's story · Published
Receiving test results and understanding nothing that's written there is distressing. Artificial intelligence can help at that moment, as long as it plays the right role: it explains what the technical words mean, what each item usually measures and what reference values are, and it helps you organize questions to take to your appointment. What it can't do is tell you what you have, whether everything is fine or what treatment to follow. That's the job of whoever examined you, knows your history and answers for what they say.
Use AI to arrive at your appointment calmer and better prepared, never to replace it.
Why AI is not a chatbot
In health, the difference between an answer robot and a support tool is enormous. AI used well gives no verdict; it helps you understand the language and talk better with the professional.
In Bairo's view, AI is an extension of you: of your ability to understand, to ask and to take care of yourself. In his words, "artificial intelligence is an extension of the human, not the problem." In the health fronts he founded, the rule is the same: the assistant organizes, and a health professional validates.
Step by step today
- Remove your data from the document. Before sending, cover your name, ID number, insurance card number, address and the laboratory's name. Or type only the names of the tests and the values.
- Ask for an explanation of terms, not an interpretation:
I received a blood test with these items: [list the names].
Explain, in simple language, what each one usually measures in the
body. Don't interpret my values and don't suggest a diagnosis.
- Understand what a reference value is. Ask the AI to explain why a result slightly outside the range isn't always a problem, and why only the professional can say.
- Prepare your questions for the appointment:
I'm going to take these results to an appointment with [specialty]. Help me
write 6 clear questions to ask the professional, about what the
results mean in my case, whether I need to repeat any
test and what I can do day to day.
- Organize your history. Ask for a simple table for you to fill in yourself: test dates, main results, medications you take, allergies, surgeries. Bring it printed or on your phone.
- Take notes on the appointment. After you leave, dictate what the professional explained and ask for an organized summary of what to do and when to go back. If you still have questions, call or message the clinic.
- Look for reliable sources. For further reading, prefer pages from the Ministry of Health, medical societies and university hospitals. Ask the AI to point you to sources like these, and open each one.
- Know when not to wait. If you have strong symptoms, intense pain, shortness of breath or any sign of an emergency, don't ask the AI: seek care or call 192.
How Bairo did it
Bairo Leandro Gonzalez Martinez founded Xperienc Global Labs, a research company registered in London, whose proposal brings together teleconsultation, a clinical assistant with artificial intelligence always validated by a health professional, and Global Language, a translator so that patient and specialist can each speak in their own language. The second opinion it proposes is a clinical opinion, not a medical report.
The technical foundation of all this began far from hospitals. He says he spent six months at home, in front of the computer, without knowing how to code, building the foundation of the platform and the artificial intelligence of CEASA Bank, a financial platform for agribusiness. What he learned there he took into other fields, with one conviction: in health, the machine extends the professional's hand, and never takes their place.
Precautions
Your test results are sensitive data and deserve protection: don't send documents with your name and ID numbers; read what the tool does with what you send; don't change or stop medication because of something the AI said; don't use its explanation as a diagnosis; check what you read in a reliable health source; and remember that the tool was trained on data that doesn't always represent women, Black people, older people or children well; the professional who treats you knows your case, it doesn't.