Ingest live operating knowledge
Accept documents, messages, attachments, and corrections from billers and clinicians.
Reliability and execution result
Give billing teams one traceable source for changing rules.
Specialty billing depends on dense Medicare and insurer-specific guidance. An internal knowledge system was built so people and automated workflows could retrieve the applicable rule with its source and revision context.
Operating consequence
Confident but unsupported answers can become incorrect claims.
Billing teams were working through years of documents, local experience, payer rules, CPT guidance, and exceptions. Different people could reach different answers or cite competing generated responses.
The operation needed a shared source that accepted corrections from experienced billers and clinicians, preserved changing guidance, and connected an answer back to the policy or document that supported it.
Without that traceability, retrieval speed alone would only accelerate uncertainty.
Documented capability
Every generated assertion was designed to link back to source material.
Multiple sourcesGoogle Docs, email, attachments, and conversational corrections could enter the knowledge workflow.
Multiple levelsParagraph, section, and document representations supported retrieval at useful specificity.
Source-backedAnswers were composed only after retrieval and retained links to supporting documents.
The original case documents system capabilities and operating intent. It does not publish a quantified revenue, cost, accuracy, or turnaround result, so none is claimed here.
Operating explanation
Keep the knowledge editable by the people who know the exceptions.
Preserve useful context
Chunk by section and meaning, clarify references, and retain document structure instead of relying on fixed-length fragments.
Connect rules and exceptions
Represent relationships among CPT codes, modifiers, documentation requirements, payer policies, and exceptions.
Retrieve before generating
Resolve the question against structured and semantic indexes, score the evidence, and compose an answer only from retrieved material.
Where the capability is used
- As a live reference for specialty-billing teams.
- As grounding for FairPath claims and pre-authorization workflows.
- As an auditable source for CPT mappings and insurer-specific rules.
Technical reason to believe
Structure and semantic retrieval work together.
The implementation used SemDB for semantic indexing and ontology relationships, with Buffaly supplying policy-aware retrieval and execution for downstream workflows.
Those technologies support the operating requirement: precise, source-grounded answers that can be corrected, tested, and reviewed. They are not the commercial outcome themselves.
Controls documented by the original case
Answers retain links to the documents used to support them.
Updates can preserve policy history and require review before publication.
The knowledge base can run within a controlled environment with role-based access.
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Where does changing policy create delay, disagreement, or avoidable error?
Show us the knowledge, workflow, and operating consequence. We can work from there.
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