Sources over summaries
Every number links back to where it came from, so every value in your graph is one you can check.
A health graph that reads your documents for you has to earn your trust. Showing the work earns that trust.
Provenance on every value
When AumniVIDA reads a lab result from a photograph or a PDF, the value carries its source document, the page, the lab, the unit as printed and the converted unit. Open any number and the original is one tap away. If the reading was wrong, you can see that it was wrong, and correct it.
Uncertainty stays visible
Extraction has limits, and AumniVIDA shows them. Uncertain extractions wait in a review queue for you to confirm or correct before they join your graph. A number you have confirmed is a number you can rely on.
Normalization keeps the original
Once AumniVIDA converts them, a Finnish result in mmol/L and a US result in mg/dL sit on the same line. The converted value is what you compare; the original stays next to it, unchanged.
Why this matters more for health data
You will act on this data: keep doing something, change something, or bring a number to a doctor. Every one of those starts with the question "where is that from". A graph that can answer is one you can act on.