A clear breakdown of indicators
An explanation of values, of the connections between indicators, and of points to watch — without being tied to a single lab form layout.
for the patientWizey helps a laboratory add a clear AI interpretation to test results: explain the indicators in plain language, show the connections between values, and prepare questions for a consultation with a specialist.
Any analysis and any lab works, as long as the input has text data with indicators and reference ranges — we don't depend on a specific lab brand or a rigid form template.
What matters for a pilot is the text-based medical data: indicator names, values, units, reference ranges, the date, and context where available. Wizey can assemble a clear output for the patient even when the data comes from different laboratories.
A use case for a laboratory can start with a limited set of documents and then expand the format after you've checked the quality and the user response.
An explanation of values, of the connections between indicators, and of points to watch — without being tied to a single lab form layout.
for the patientThe tone, structure, visual elements, and disclaimers can be adapted to the laboratory's own service.
for the productThe patient gets a basic explanation of the result and understands which topics are worth discussing with a specialist.
for the teamThe example is depersonalized. Real interpretations are built from the uploaded text data, without diagnoses or prescriptions. The exact structure is agreed with the laboratory during the pilot.
The basic format is a few meaningful blocks: a brief overview of the result, a breakdown of the indicators that fall outside the reference range, possible connections between values, behavioral factors, and questions to prepare for a consultation with a specialist.
Any numbers in the block on the right are a synthetic example to illustrate the format, not real patient data.
Brief overview In the uploaded complete blood count, one indicator is below the reference range — hemoglobin. The other values are within the norm. Indicators worth paying attention to • Hemoglobin: 112 g/L ↓ (reference range 120–150 g/L). The other red blood cell indicators are within the norm. Possible connections Low hemoglobin with normal red blood cells is often discussed together with iron stores. This interpretation has no data on ferritin or serum iron — those are separate tests. What you can prepare for the consultation • Ask the specialist whether you should additionally test ferritin, serum iron, and vitamin B12. • Mention any chronic conditions and the medications you take, if any. Important This interpretation does not make a diagnosis and does not prescribe treatment. The specialist makes the decisions.
Yes. The use case isn't tied to a specific template. If the output has text data with indicators, units, reference ranges, and a date, the interpretation can be built on top of the result.
Yes. The tone, structure, visual elements, and disclaimer blocks are adapted to the brand. The exact scope of branding is agreed during the pilot — the terms are described on the pilot and terms page.
No. The interpretation helps the patient understand the document and prepare questions for a consultation, but it doesn't replace the appointment and doesn't prescribe therapy. More on our approach to quality is on the quality checks page.
A text output with indicators and reference ranges. How data is stored and processed is covered on the security page; the technical details are discussed separately.
Besides analysis interpretation for laboratories, there are use cases for clinics and for patient-facing materials. You can browse the overview or open the one you need.
Structured context across documents to help a specialist prepare.
Clear explanations after tests, an appointment, or a document upload.
A general overview of Wizey use cases for laboratories, clinics, and products.
Describe the task on the B2B page: what text-based medical data you have as input, who reads the result, and what output format you need.