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Local / Desktop reference architecture

Claims preparation, scrubbing, and denial management

A Local / Desktop reference architecture for claims preparation, scrubbing, and denial management in Healthcare. Triggered by encounter coded and ready to bill, Padiso orchestrates 3 specialist agents on Claude Code + Ollama, on your machines, reaching practice management / billing and your tools through the Model Context Protocol, with budgets, approvals and an audit trail throughout.

Local / DesktopRuntime: Claude Code + Ollama, on your machines

Trigger

Encounter coded and ready to bill

Healthcare

Orchestration

Padiso

Padiso Orchestrator

goals · tasks · heartbeat

Governance

budgets · approvals · audit

Runtime & agents

Agent runtime

Claude Code + Ollama, on your machines

Intake coordinator

agent

Claims & billing agent

agent

Scheduling agent

agent

Integrations · MCP

MCP gateway

salesforce
airtable
google-drive
slack

Your systems

Practice management / billing

Clearinghouse (837/835 EDI)

Coding rules engine

How the data flows

Trigger: Encounter coded and ready to bill

  1. 1

    Claims agent assembles the 837, validates ICD-10 / CPT codes and scrubs for errors

  2. 2

    Submission agent routes the claim through your clearinghouse and tracks acknowledgements

  3. 3

    On an 835 denial, a denial agent classifies the reason and drafts the correction or appeal

  4. 4

    High-dollar or repeat denials escalate to a biller with full context

Agent team

  • Intake coordinator
  • Claims & billing agent
  • Scheduling agent

Integrations

salesforce
airtable
google-drive
slack

Reached through the Model Context Protocol, scoped and governed.

Runtime & data

Claude Code + Ollama, on your machines

Practice management / billing

Clearinghouse (837/835 EDI)

Coding rules engine

Security & operational considerations

  • Every claim action logged for payer audits
  • Per-payer scrub rules, versioned
  • Approvals required on write-offs and adjustments

Local / Desktop deployment

Self-hosted: agents and models run on your machines, so regulated data and credentials never leave your network. Best when data residency is non-negotiable.

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