Healthcare Document Automation: 30‑Day OCR, Validation, Secure Sharing

```yaml
policy_name: him-intake-triage-v3
owner: HIM Operations (Director: S. Alvarez)
policy_version: 3.2
last_updated: 2025-01-08
regions:
  - us-east-1
  - us-west-2
service_lines:
  - imaging
  - cardiology
  - surgical
slo:
  validated_packet_time_hours_p50: 8
  validated_packet_time_hours_p90: 24
  exception_rate_max: 22%
  partner_delivery_success: 99.5%
inputs:
  channels:
    - fax_s3_bucket: s3://prov-intake-fax/
    - secure_email: intake@healthsystem.org
    - sftp: sftp://intake.healthsystem.org/incoming
  doc_types:
    referral:
      required_fields: [patient_name, dob, mrn, ordering_provider_npi, dx_code]
      required_attachments: [order, clinical_notes]
    prior_auth:
      required_fields: [payer_id, member_id, plan_name, cpt_code, facility_npi]
      required_attachments: [order, imaging_protocol]
ocr:
  engine: azure_form_recognizer
  preproc: [deskew, denoise, contrast_boost]
  confidence_auto_threshold: 0.93
  confidence_review_threshold: 0.80
validation:
  referential_checks:
    - match: mrn -> ehr.patients.mrn
    - match: ordering_provider_npi -> nppes.npi
  business_rules:
    - if doc_type == referral then require attachments.order == true
    - if payer == "ACME Health" then require dx_code in payer.acme.whitelist
  pii_phi_scan: enabled
  redaction:
    fields: [ssn]
    mode: mask
human_in_loop:
  review_queue:
    name: him-referral-review
    rbac_roles: [HIM_Reviewer, HIM_Supervisor]
  route_logic:
    - when: ocr_confidence < 0.80
      action: send_to_review(reason: low_confidence)
    - when: missing_required_fields == true
      action: send_to_review(reason: missing_fields)
    - when: mismatch_referential == true
      action: send_to_review(reason: referential_mismatch)
  approval_steps:
    - step: reviewer_approve
      sla_minutes: 60
    - step: supervisor_signoff (if high_risk_partner == true)
      sla_minutes: 120
partner_sharing:
  allowed_partners:
    - name: ACME_Payer
      method: FHIR
      endpoint: https://api.acmepayer.com/fhir/R4
      auth: mTLS
    - name: RiverCity_Imaging
      method: SFTP
      endpoint: sftp.rivercityimaging.com:/incoming/referrals
      auth: keypair
  encryption: at_rest(KMS), in_transit(TLS1.2+)
  retry_policy:
    attempts: 3
    backoff: 5m, 15m, 60m
observability:
  metrics:
    - name: exception_rate
      owner: COO_Operations
      threshold: 22%
      alert: ops_slack_channel
    - name: validated_cycle_time_p90
      owner: HIM_Supervisor
      threshold_hours: 24
      alert: him_slack_channel
  audit_trail:
    store: snowflake.table audit.intake_events
    retention_days: 365
fail_safe:
  fallback_to_manual: true
  stop_conditions:
    - consecutive_partner_failures > 10
    - exception_rate > 35% for 24h
```

{
  "title": "Healthcare Document Automation: 30‑Day OCR, Validation, Secure Sharing",
  "published_date": "2025-12-07",
  "author": {
    "name": "Lisa Patel",
    "role": "Industry Solutions Lead",
    "entity": "DeepSpeed AI"
  },
  "core_concept": "Industry Transformations and Case Studies",
  "key_takeaways": [
    "Stand up a governed OCR-to-validation-to-sharing flow in under 30 days.",
    "Return 120 FTE-hours/week by automating intake triage and verification.",
    "Reduce denials by validating required fields and attachments before submission.",
    "Use RBAC, audit trails, and data residency to keep Legal and Security onboard."
  ],
  "faq": [
    {
      "question": "How do you prevent bad OCR from creating downstream errors?",
      "answer": "We combine high-confidence thresholds, referential checks against EHR/MPIs, and human-in-loop review queues. Anything under the review threshold or failing validation never auto-shares; it routes to HIM with reason codes."
    },
    {
      "question": "Can this run fully inside our cloud with no data leaving?",
      "answer": "Yes. We deploy in your AWS/Azure/GCP VPC or on‑prem. All PHI stays within your boundary. We never train models on your data and support residency requirements."
    },
    {
      "question": "How fast can we scale beyond the first service line?",
      "answer": "Most providers expand to two additional flows in week four. Once thresholds and rules are codified, adding doc types is largely configuration and partner endpoint setup."
    }
  ],
  "business_impact_evidence": {
    "organization_profile": "600‑bed non-profit regional health system on Azure with Epic.",
    "before_state": "2,400 daily documents, 28% rework, 42-hour median to validated packet, 8.7% denials from missing attachments.",
    "after_state": "Automated OCR/validation/sharing for referrals and prior-auth; 14-hour median to validated packet, denials at 5.2%, 120 FTE‑hours/week returned.",
    "metrics": [
      "Cycle time to validated packet reduced 67% (42h → 14h).",
      "Denials due to missing attachments down 40% (8.7% → 5.2%).",
      "120 FTE‑hours/week returned; HIM overtime eliminated.",
      "99.7% partner delivery success with mTLS/SFTP and retries."
    ],
    "governance": "Legal and Security approved due to VPC deployment, RBAC, prompt logging with redaction, full audit trails in Snowflake, data residency enforced, and models never trained on client data."
  },
  "summary": "COOs: cut referral and prior-auth cycle time with OCR, validation, and secure partner sharing—governed, auditable, and live in 30 days."
}