Years of results, one glance
A father's HbA1c across four visits over two years shows as one line instead of four separate PDFs a family would otherwise need to open one at a time to compare.
Available now
In build
The whole team
Nineteen specialists, each with a defined job and an honest status label.
See all nineteenThe person can see how one specific lab value has moved across multiple visits without manually flipping between old reports.
Works with
What it does
Once two or more reports contain the same standardized parameter (e.g. the same test name from lab-report-digitization), Doctor plots the raw values on a simple line chart with dates on the x-axis. The chart shows only the values and dates as printed on the source reports, with each point linked back to its source document.
A father's HbA1c test appears on four separate lab reports across two years, each one a standalone printout with no way to see, at a glance, whether the number has moved much between visits. Flipping between four PDFs on a phone, trying to hold four separate numbers in your head at once, is not how anyone should have to track a recurring test result.
Record trend charting plots that same test across every report where it appears, as a simple line with dates on one axis and the printed values on the other. Every point on the line links back to the exact source document it came from, and the chart shows only the numbers the reports already contain — it never adds a verdict about whether the line moving up or down is something to feel good or worried about, ever.
Doctor runs this directly on the platforms your customers already use — no separate app for them to install.
How it works
Once the same standardised parameter appears in two or more digitised lab reports for one person, that test becomes eligible for its own trend view, built entirely from values already transcribed and confirmed by a person.
Each report's value for that test is placed on a line chart against the date it was recorded, using the exact figures printed on the source reports, with nothing recalculated, rounded, or adjusted along the way.
Tapping any point on the line opens the original report it came from, so a number on the chart is never disconnected from the actual document it was transcribed out of in the first place.
If the same test appears under two different units across separate reports, the chart flags the mismatch and asks for manual reconciliation rather than silently guessing at a conversion factor between the two units involved.
Why it matters
A father's HbA1c across four visits over two years shows as one line instead of four separate PDFs a family would otherwise need to open one at a time to compare.
Tapping a point on the line opens the exact report it came from, so the chart is always a shortcut to the original documents, never a replacement for having them.
The chart shows movement in the numbers and nothing else — no colour coding, no shaded zone, no comment about whether the trend is good or bad, leaving that entirely to a clinician.
The detail
A trend chart is a visualisation of numbers a set of reports already contains, laid out so the movement between visits is easier to see than flipping between separate PDFs — it is not a new piece of analysis. Doctor never adds a trend line's own commentary, never labels a movement 'improving' or 'worsening,' and never projects where a future value might land, because each requires a clinical judgement about what a changing number means for a person's health.
The chart's design itself is treated as carefully as its copy, because a shaded 'healthy zone' or an implicit target line drawn across the chart would communicate a verdict visually even without a single word of text saying so. So the chart stays deliberately plain — dates, values, a line connecting them, and nothing overlaid that would nudge a reader toward reading the shape of the line as good or bad news before their doctor weighs in.
Unit consistency matters more here than it might first appear, because plotting a value recorded in mg/dL against one recorded in mmol/L on the same axis, without converting between them, would visually misrepresent the two points. Rather than guessing at a conversion factor, a detected unit mismatch pauses automatic charting and asks for a manual reconciliation instead — a small friction that stops an unreviewed number from ending up in the wrong place on the line, keeping the chart trustworthy.
Industry use cases
1 industries where Doctor applies this directly.
More from Doctor
The person sees every report, prescription, and visit they've uploaded laid out in date order instead of as a loose pile of files.
Learn moreThe person adds a paper prescription or report to their record in seconds by taking a photo, instead of typing it in by hand.
Learn moreOne person — often a caregiver — can organize records for their parents, children, or in-laws separately, without mixing up whose test is whose.
Learn moreA person managing an elderly parent's records can invite a sibling to view or help, and can cut off that access instantly if circumstances change.
Learn moreThe person can see a lab report's parameter names, values, units, and reference ranges as clean text instead of squinting at a scanned PDF.
Learn moreThe person keeps a simple record of when they saw which doctor or facility, for their own reference and to bring to a future visit.
Learn moreQuestions
No — the chart shows the values moving across time exactly as printed on the source reports, but it never comments on whether a rising or falling line is good news, bad news, or worth watching closely. Reading what a trend means for your father's health is a clinical judgement that belongs with his doctor, which is exactly why the chart links every point straight back to the original report he can review alongside you.
The most common reason is a unit mismatch — the same test recorded in different units across two reports, say mg/dL on one and mmol/L on another entirely. Rather than guess at a conversion and risk plotting incompatible numbers on one shared line, the chart pauses and asks for a manual check first, so nothing gets silently misrepresented in the process.
The chart is a useful, faster way to show a doctor how a value has moved over time, but every point links back to its source report, and it's worth bringing or having those originals available too, since a doctor may want to see the full report a value actually came from. Think of the chart as a quick summary view, not a document that fully stands in for the reports underneath it.
No — it only plots values that already exist from reports already uploaded, with nothing projected or estimated for any future date whatsoever. Predicting a future value would mean making a claim about how a health measure is likely to change, which is a clinical estimate this product deliberately does not make, for any test, on any profile, under any circumstance at all.
The rest of your stack
No rip-and-replace — chart the same test over time works alongside the systems already running your business.
Coming soon