Healthcare Administration · Synthetic-data demonstration
Which requirement is unsupported, and does the record actually prove it?
An evidence workbench that traces each requirement to the FHIR element meant to support it, validates against the published R4 specification, and separates what a validator may decide from what a reviewer must.
Source, licence and limits
Can the record actually support each requirement? Every gap cites the FHIR element behind it, and says who may close it.
SourcesFHIR resourcesEncounter · Composition · CarePlan · ServiceRequest
NigatEvidence and exception layerValidate · cite · tier · route
OutputReviewer queueResolve unsupported requirements
Traceability
FHIR resources to requirements
SupportedNeeds a reviewerUnsupported
Nigat evidence engineValidate and tier
Ready
Click any resource, requirement, or row to open the evidence behind it. Structural rules are read from the published FHIR R4 StructureDefinitions.
| Requirement | Evidence source | Rule | Decided by | Status |
|---|---|---|---|---|
| Loading FHIR R4 element definitions… | ||||
Business problem
Readiness tools report one confident percentage that mixes three different things: what the specification settles, what a program rule raises, and what only a clinician may judge. The number looks precise and is mostly unearned.
Techniques used
- Requirement-to-element traceability graph
- Cardinality validation against the published spec
- Program rules on dates and linkage
- Explicit separation of validator and reviewer authority
What the workflow can improve
- Show which requirements the record cannot support
- Cite the exact element and cardinality behind each gap
- Say plainly which findings a reviewer still has to settle
- Carry corrections into the next packet version
From demonstration to production
Replace the proxy with the customer’s operating evidence.
The production path begins with a bounded workflow scan, source and permission mapping, baseline measurement, user and administrator roles, and an explicit decision owner. The public technique is reusable; the customer’s rules, costs, constraints, and outcomes must be validated.
What this runs on
- The data is public or fully synthetic.
- Impact figures are modelled from that dataset, with the model shown.
- The interface is a working demonstration of the method.
- Consequential decisions retain an accountable human owner.
More demonstrations
See the same approach in another sector.
Start with the operating problem
Show us where the work slows down.
You do not need a polished technical brief. Describe the decision, handoff, report, document workflow, or AI initiative that is harder than it should be.