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Local / Desktop reference architecture

Automated patient intake and eligibility checks

A Local / Desktop reference architecture for automated patient intake and eligibility checks in Healthcare. Triggered by new patient form submitted (portal, fax, or referral), Padiso orchestrates 3 specialist agents on Claude Code + Ollama, on your machines, reaching ehr (epic / cerner) 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

New patient form submitted (portal, fax, or referral)

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
google-drive
slack
airtable

Your systems

EHR (Epic / Cerner)

Payer eligibility (X12 270/271)

Document store

How the data flows

Trigger: New patient form submitted (portal, fax, or referral)

  1. 1

    Intake agent parses the form and structures demographics and insurance into your schema

  2. 2

    Eligibility agent sends an X12 270 to the payer and reconciles the 271 response

  3. 3

    Records agent writes the verified patient and coverage into the EHR, flagging gaps

  4. 4

    Any coverage mismatch is held for staff approval before the chart is finalized

Agent team

  • Intake coordinator
  • Claims & billing agent
  • Scheduling agent

Integrations

salesforce
google-drive
slack
airtable

Reached through the Model Context Protocol, scoped and governed.

Runtime & data

Claude Code + Ollama, on your machines

EHR (Epic / Cerner)

Payer eligibility (X12 270/271)

Document store

Security & operational considerations

  • PHI stays in your environment; only minimum-necessary fields leave it
  • HIPAA audit trail on every read and write
  • Human approval before chart finalization

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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