HL7 / FHIR standardization
Every data point is coded to SNOMED CT, LOINC, RxNorm, CVX, ICD-10 or MedDRA and exchanged over HL7 and FHIR, so it works with any health system, EHR, wearable or safety database.
HL7 isn't just plumbing here. It's the intelligence layer.
Most systems treat HL7 as invisible infrastructure. StoryMD uses it to interpret and organize clinical information into a living, visual framework that clinicians and patients can understand and act on.
{"resourceType": "Observation","id": "f001","status": "final","code": {"coding": [{"system": "http://loinc.org","code": "15074-8","display": "Glucose [Moles/volume] in Blood"}]},"subject": {"reference": "Patient/f001","display": "P. van de Heuvel"},"effectivePeriod": {"start": "2013-04-02T09:30:10+01:00"},"valueQuantity": {"value": 6.3,"unit": "mmol/l","system": "http://unitsofmeasure.org","code": "mmol/L"}}
1.8M+
Medical codes, HL7 FHIR-ready
112K+
LOINC codes, so results from any lab line up
6,500+
Conditions and diseases, coded to SNOMED CT and ICD-10
A lab result is never just a number.
On its own, the glucose result above — 6.3 mmol/L — is just a number. Coded, StoryMD reads it against its reference range, the person's trend, their devices and their care plan.
That is where StoryMD starts to feel less like software and more like infrastructure.
Blood Glucose Test
Random glucose reference range
Use the slider below to see how your results affect your health.
Your result is .
Related conditions
Healthcare knows everything but understands very little.
The answer isn't more data — it's better organization. StoryMD's coded library is less about records than about rewriting the operating system of medicine itself.
A shared language
Providers, patients and pharmaceutical partners read the same coded record, each at their own depth.
One foundation, end to end
The library, the personal record and every journey's insights share one coded foundation, so what the library knows stays in step with each record.
AI that maps your records to the right knowledge.
The library is the knowledge, the StoryMD record is the context, and the AI agent is the bridge: it maps what the library knows to what each person needs, at every stage of their journey.
- 01
Records come in from every source
Clinical records over FHIR, with labs, wearables, documents and a personal diary, recognized by their codes as they arrive, not just stored but understood.
- 02
The library is matched
Diagnoses, conditions, medications and life stage are matched to the relevant HealthJournals, a personal view of 6,500+ resources.
- 03
The AI agent answers in context
It draws only on the person's data and the mapped library, never generic web results, to explain, answer and support.
- 04
Everything stays in sync
New labs, diagnoses and milestones re-map the library as they arrive, so every insight reflects the current picture.
The foundation AI is built on.
Precision AI needs precision inputs. The companion, the insights in every journey and every answer StoryMD's AI gives are grounded in this coded structure, not in generic web results.