Healthcare COO Playbook: OCR + FHIR Validation and HIPAA‑Secure Partner Sharing in 30 Days

```yaml
policy:
  id: DI-REF-PA-PILOT-001
  name: Document Intake Triage Policy — Referrals & Prior Authorization
  owners:
    - role: VP_Access_Operations
      name: Dana Moore
    - role: Privacy_Officer
      name: Samuel Ortiz
    - role: Security_Architect
      name: Priya Nair
  scope:
    specialties: [Orthopedics, Cardiology]
    document_types: [Referral, PriorAuthorization]
    regions: [US-WEST, US-MID]
  slos:
    intake_queue_time_minutes_p50: 30
    intake_queue_time_minutes_p95: 120
    share_sla_minutes: 60
  thresholds:
    ocr_confidence_min: 0.92
    phi_detection_required: true
    fhir_validation:
      required_resources: [Patient, Coverage, ServiceRequest]
      required_fields:
        Patient: [name, birthDate, identifier]
        Coverage: [payor, subscriberId, class]
        ServiceRequest: [code, reasonCode, occurrenceDateTime]
    code_sets:
      icd10_version: 2025Q1
      cpt_version: 2025
  routing:
    straight_through:
      when_all_true:
        - ocr_confidence >= 0.92
        - missing_required_fields == []
        - code_set_valid == true
      destination: Scheduling_Ready
    exceptions:
      - name: Missing_Auth
        when:
          - document_types includes PriorAuthorization
          - fhir_validation.required_fields_missing contains [Coverage.class]
        queue: UM_Queue
        sla_minutes: 60
        approver_roles: [UM_Supervisor]
      - name: Low_Confidence_OCR
        when:
          - ocr_confidence < 0.92
        queue: HIM_Intake
        sla_minutes: 120
        approver_roles: [HIM_Lead]
      - name: PHI_Mismatch
        when:
          - phi_detection_required == true
          - patient_identifier_conflict == true
        queue: Privacy_Review
        sla_minutes: 240
        approver_roles: [Privacy_Officer]
  partner_sharing:
    channels:
      - type: DirectTrust
        id: DT-ORTHO-001
        min_watermark: "CONFIDENTIAL – MINIMUM NECESSARY"
      - type: FHIR
        endpoint: https://partner.example.org/fhir
        auth: mTLS
      - type: SFTP
        host: sftp.partner.org
        user: intake_safe
        fingerprint: "SHA256:93:af:10:..."
    retry_policy:
      max_attempts: 5
      backoff_seconds: 60
  security_controls:
    rbac:
      idp: Okta
      roles: [Intake_Clerk, HIM_Lead, UM_Supervisor, Privacy_Officer]
    audit_trail:
      enabled: true
      retention_days: 365
    data_residency: US
    encryption:
      at_rest: AES256
      in_transit: TLS1.2+
  approvals:
    - step: Privacy_Signoff
      approver: Privacy_Officer
      date: 2025-01-10
    - step: Security_Signoff
      approver: Security_Architect
      date: 2025-01-10
    - step: Operations_GoLive
      approver: VP_Access_Operations
      date: 2025-01-12
```

{
  "title": "Healthcare COO Playbook: OCR + FHIR Validation and HIPAA‑Secure Partner Sharing in 30 Days",
  "published_date": "2025-10-31",
  "author": {
    "name": "Lisa Patel",
    "role": "Industry Solutions Lead",
    "entity": "DeepSpeed AI"
  },
  "core_concept": "Industry Transformations and Case Studies",
  "key_takeaways": [
    "Start with one high-volume document class (referrals or prior auth) and measure lead-time delta and exception rate.",
    "Use OCR + LLM-assisted extraction, then validate to FHIR profiles before touching the EHR.",
    "Route exceptions with clear thresholds, SLAs, and human approval steps; log everything for HIPAA audits.",
    "Share outbound packets via DirectTrust, FHIR endpoints, or SFTP with role-based access and watermarking.",
    "Prove value in 30 days: target a 2-day referral lead-time reduction and 30–40% intake hours returned."
  ],
  "faq": [
    {
      "question": "Will this work if we’re on Epic and still rely on fax?",
      "answer": "Yes. We ingest fax and scanned PDFs, map to Epic via FHIR and HL7 bridges, and move to portal/API sharing where partners support it. The pilot scopes to one or two specialties first."
    },
    {
      "question": "How do you avoid PHI leakage with LLMs?",
      "answer": "Models run in your VPC with encryption and RBAC. Prompts and outputs are logged, and we never train on your data. Redaction and minimum-necessary rules apply to outbound shares."
    },
    {
      "question": "What if payer rules change mid-pilot?",
      "answer": "Validation rules are configuration-first. We version code sets and forms and push updates without redeploying the whole pipeline. Exceptions spike alerts your team and we adjust in hours, not weeks."
    }
  ],
  "business_impact_evidence": {
    "organization_profile": "Regional not‑for‑profit health system; 6 hospitals, 70 clinics; Epic EHR; Azure tenant.",
    "before_state": "Paper faxes and scanned PDFs with manual keying; 26% of packets missing required elements; average 3.4 days from referral receipt to scheduling.",
    "after_state": "OCR + LLM-assisted extraction with FHIR validation; exceptions triaged with SLAs; secure partner sharing via DirectTrust/FHIR; average 1.3 days to scheduling.",
    "metrics": [
      "Referral scheduling lead time reduced by 2.1 days",
      "38% intake staff hours returned within pilot scope",
      "Denials for missing authorization down 12% in 60 days",
      "First-pass extraction accuracy at 96% with PHI access 100% logged"
    ],
    "governance": "Legal/Security approved due to VPC deployment with BAA, RBAC via Okta, prompt and access logging, minimum-necessary redaction on shares, state-based retention, and models not trained on client data."
  },
  "summary": "COOs: Shrink referral lead time and denials with OCR+validation and secure partner sharing. A 30‑day pilot proves throughput with HIPAA‑ready controls."
}