A lab test analyzer that reads the panel the way a clinician does.

Yes, through a lab, clinic or health app that has put Vitrubo behind its results. Vitrubo does not perform or sell tests; it is the reading layer a provider adds to a blood test result, and the layer a person uses to understand results they already hold. The patient view is plain language and educational context to bring to an appointment, not medical advice.

Blood, urine and allergy panels arrive as values and are read as results. Hospital records, prescriptions and notes are read as context, so the analysis of a blood test knows about the medication that explains a shifted value. The analyzer analyzes each result inside the whole panel rather than one line at a time. Numbers, units, ranges and flags are always computed by code, never written by a model.

Every lab test result is mapped to one of more than 17,000 LOINC codes and its unit converted to UCUM, with SNOMED CT, ICD-10, RxNorm and ATC for the conditions and medications around it. Two blood tests from two laboratories therefore land on the same scale, and a trend reads across labs and years as one line.

Every statement links to the medical guidance it rests on: EHA, WHO, NICE, KDIGO, BSH and others, with up to 30 sources behind one biomarker view. Several AI models cross-check each other and their disagreements are resolved before a draft is shown. The analyzer prepares the reading; the professional reviews and signs it.

No. Vitrubo does not diagnose, does not select treatment and does not replace the clinician or the scientist. It drafts a reading of the test results, organises the history and names the tests to consider. The decision and the signature stay with the professional. A patient reading their own blood test results gets educational context for the next appointment, not advice.

The value against its reference range, the previous draws of the same marker on one line, the connected conditions and medications, and the guidance chip that names the source. Flagged results are grouped into a few connected stories in four zones: needs attention, worth watching, back to normal, always normal.

Through the portal or app your organisation runs, under your brand. A blood test result that arrives online from the lab is read by the analyzer and shown to the patient as the same analysis the clinician sees, written in plain language, and can ask Vitrudoc questions that are answered only from their own record. Every new test result regenerates the report and keeps the previous version as history.

A HIPAA business associate agreement for US deployments, a GDPR Article 28 processing agreement and Standard Contractual Clauses as standard. Data is encrypted in transit and at rest, identity never enters the prompt, and in-perimeter deployments keep the keys with you.

HL7 and FHIR R4 in, FHIR and JSON out. A lab connects the LIS so each blood test result is analysed at release; a clinic connects the EHR so the whole history is read before the consultation; a health app takes the API and shows the analysis inside its own product. White-label PDFs and a portal are available without any integration.

Yes. Reference ranges are configured per laboratory, so a test result is flagged against the range your lab publishes rather than a generic one. The drafted comment follows the wording your scientists already use, and the branding on PDFs and in the portal is yours. Each deployment carries its own configuration: guardrails, capability switches and answer style per audience.

In a clinical program at Assuta Medical Center, roughly 100,000 anonymised hospital records were read on premises through InterSystems IRIS for Health, with nothing leaving the perimeter. On Stanford MedAgentBench the same reasoning passed 600 of 600 tasks across five runs. Both are the same analyzer that reads a blood test for a lab or clinic today.

With a call, then sandbox access and API documentation. Your team sends its own anonymised blood tests in the formats it already produces, your scientist or clinician validates the drafts against their own reading, and production follows only when you are ready. There is no self-serve signup.