Medical records, explained at your reading level
Read your chart at your kitchen table.
Your record already belongs to you. MedLit explains it in plain language, at a reading level you choose, with every claim cited to NIH and FDA sources.
Every claim citedNIH and FDA sources
3 reading levelsscored with Flesch-Kincaid
0 lab valuesinterpreted by the model
Understanding is the point.
MedLit reads the chart in the format hospitals already use, then explains it with sources you can check.
Lab results, explainedAbove range
BNP (heart failure marker) 450 pg/mLtarget <100
The flag comes from the reference range, not the model.
Your recent lab work included a test called BNP, which stands for B-type natriuretic peptide. BNP is a protein made by your heart and blood vessels.
Grounded inHeart failure10th grade reading level
Sources you can checkEvery claim points at a source you can open.
MedlinePlus ConnectNIH · NLM, conditions
openFDA drug labelsFDA, medications and interactions
RxNav terminologyRxNorm, what a code actually names
A reading level you choosescored on the text you get
Simple5th grade
Standard7th grade
Detailed10th grade
ConvergenceSix vendors shipped the same shape within months of this build.Patient-facing record explanation, grounded in the chart and cited to sources.
EpicOpenAIAnthropicGoogleAmazonMicrosoft
The receipt
The data was lying. The validator caught it.
A physician reviewer noticed a medication card citing education material for ticagrelor, a blood thinner, under a tiotropium label, a COPD inhaler. The record carried RxCUI 1116634; ask RxNav what 1116634 actually names and the registry answers ticagrelor. The fix ships as fhir-code-lint on PyPI, and the first bug is checkable in one click.
RECEIPT №1116634RXNAV · NLM
the record says:Tiotropium 18 MCG Inhalation Capsulethe registry answers:ticagrelorA COPD inhaler label on a blood thinner. Found by a physician reviewer; the root cause was the data itself.
check it yourself:rxnav.nlm.nih.gov/REST/rxcui/1116634/properties.json
The fix ships as fhir-code-lint on PyPI.pip install fhir-code-lint
See a chart explained.
View the live demoThe demo runs on synthetic sample records.MedLit.FHIR R4 · SNOMED CT · RXNORM · LOINC