Review claims evidence
Link claims to the relevant encounters, diagnoses, and supporting documentation.
Flaibot for Healthcare
Connect the records behind care operations.
Flaibot connects patient, provider, claims, and operational data to help teams answer questions that span healthcare systems. Trace each finding to its source and make incomplete or conflicting evidence visible.
Investigate care operationsIllustrative model
Selected entityPatient
Connect source records around the same patient, then follow the relationships and evidence.
IdentityRelationshipsProvenance
One connected context
PatientProvidersEncountersClaimsAppointmentsDocuments
Where Flaibot helps
Follow the question across your systems.
Bring the relevant records, relationships, and definitions into the same investigation.
Investigate operational bottlenecks
Connect referral, appointment, and service records to examine delays across teams.
Reconcile fragmented records
Assess whether records across systems refer to the same patient or provider.
Ask across your data
Start with a question that spans systems.
ASK FLAIBOTExample question
Which claims lack supporting documentation for the diagnosis recorded in the connected encounter?
See the connected context
This investigation brings these entities and records into the same context:
PatientProvidersEncountersClaimsAppointmentsDocuments
The relevant definitions, time scope, calculations, and source documents stay attached to the finding. Missing or conflicting evidence remains visible.
Built for review
Keep the evidence attached to the answer.
Keep the entity, time period, and meaning consistent across every step.
- Consistent contextResolve identities and definitions across your structured data and documents.
- Traceable evidenceBring calculations and source records into the same investigation.
- Visible uncertaintyMake missing, conflicting, or unresolved evidence clear to the reviewer.
Your data. Your next question.