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Healthcare

Archivus provides HIPAA-compliant document intelligence for healthcare organizations, enabling better care coordination while protecting patient privacy.


Industry Challenges

Clinical Documentation Burden

Healthcare generates massive documentation volumes:

  • Discharge summaries and clinical notes
  • Lab results and imaging reports
  • Referral letters and consults
  • Insurance authorizations and claims
  • Care plans and patient education

Interoperability Gaps

Patient information fragmented across:

  • Electronic Health Records (EHR)
  • Practice management systems
  • Imaging archives (PACS)
  • External provider records
  • Patient-provided documents

Compliance Requirements

Stringent privacy and security mandates:

  • HIPAA Privacy and Security Rules
  • State privacy laws
  • Meaningful Use requirements
  • Audit and documentation standards

How Archivus Helps

Clinical Document Processing

graph LR
    A[Incoming Document] --> B[OCR Extraction]
    B --> C[PHI Detection]
    C --> D[Patient Matching]
    D --> E{Match Found?}
    E -->|Yes| F[File to Chart]
    E -->|No| G[Manual Review]
    F --> H[Provider Alert]

Intelligent Record Processing:

  • Automated ingestion from fax, email, portal
  • OCR for scanned documents
  • PHI identification and protection
  • Patient matching with confidence scoring
  • Integration with EHR systems

Clinical Information Retrieval

Surface relevant patient information instantly:

Query Result
"Summarize Mrs. Johnson's cardiology records" AI-generated summary with source citations
"What medications was this patient on in 2024?" Extracted medication list with dates
"Show all lab results for this patient" Chronological lab summary

Care Coordination

Connect information across care settings:

  • Aggregate records from multiple providers
  • Surface relevant history for current visit
  • Track referral status and responses
  • Identify gaps in care documentation

Use Cases

Primary Care: Pre-Visit Preparation

Challenge: Providers spend significant time reviewing records before appointments.

Solution:

  1. Aggregate all recent external documents
  2. AI summarization of relevant history
  3. Flag critical findings (abnormal results, new diagnoses)
  4. Present consolidated view in EHR

Result: Pre-visit prep reduced from 15 minutes to 3 minutes per patient.

Hospital: Medical Records Management

Challenge: Incoming records from external facilities require manual processing.

Solution:

  1. Automated fax/email ingestion
  2. Document classification (lab, imaging, consult, etc.)
  3. Patient matching against MRN database
  4. Routing to appropriate chart sections
  5. Provider notification for urgent findings

Result: Record filing backlog eliminated, urgent findings identified faster.

Health System: Care Gap Identification

Challenge: Patients receive care at multiple facilities; records don't follow them.

Solution:

  1. Aggregate documents across facilities
  2. Extract key clinical events and dates
  3. Identify missing preventive care
  4. Generate care gap reports for population health

Result: Preventive care compliance improved, quality metrics enhanced.


HIPAA Compliance

Protected Health Information (PHI)

Archivus is designed for PHI handling:

Safeguard Implementation
Access Control Role-based access with audit logging
Encryption TLS 1.3 in transit, AES-256 at rest
Audit Trail Complete access and modification logging
Minimum Necessary Configurable data access policies

Business Associate Agreement

Archivus signs Business Associate Agreements (BAA) for covered entities:

  • Available for Team and Enterprise tiers
  • Covers all applicable HIPAA requirements
  • Includes breach notification procedures

Technical Safeguards

  • Automatic session timeout
  • Multi-factor authentication
  • Encryption key management
  • Secure backup and disaster recovery

Deployment Options

Keep all patient documents in your own infrastructure:

graph LR
    subgraph "Your Infrastructure"
        S[(Your Storage)]
        style S fill:#e8f5e9
    end
    subgraph "Archivus Processing"
        A[AI Processing]
        B[Search Index]
    end

    S --> A
    A --> B
  • Documents never leave your environment
  • Full control over data residency
  • Meets strict data sovereignty requirements

Air-Gapped Deployment

For maximum security and compliance:

  • No internet connectivity required
  • Local AI processing (Ollama)
  • Complete on-premises installation
  • Suitable for classified environments

EHR Integration

Supported Systems

EHR Integration Method
Epic API, file-based
Cerner API, file-based
athenahealth API
eClinicalWorks File-based
AllScripts API, file-based
Custom/Legacy HL7, FHIR, file-based

Integration Capabilities

  • Document Push: Send processed documents to EHR
  • Patient Context: Launch from EHR with patient context
  • Chart Integration: Display Archivus content within EHR
  • Bi-directional Sync: Keep documents synchronized

Clinical AI Features

PHI-Aware Processing

AI models trained to:

  • Identify PHI in unstructured text
  • Redact PHI for non-clinical uses
  • Extract clinical concepts (diagnoses, medications, procedures)
  • Summarize clinical narratives

Medical Terminology

Support for clinical vocabularies:

  • ICD-10-CM/PCS coding assistance
  • CPT code identification
  • SNOMED CT concept extraction
  • RxNorm medication normalization

Clinical Decision Support

  • Flag critical lab values
  • Identify potential drug interactions (when integrated with pharmacy data)
  • Surface relevant clinical guidelines
  • Alert on significant clinical changes

Security Features

Access Controls

  • Role-based access (provider, nurse, HIM, billing)
  • Break-the-glass for emergency access with logging
  • Time-limited access grants
  • Minimum necessary enforcement

Audit Capabilities

  • Who accessed what patient record
  • All search queries logged
  • Document download tracking
  • Export with audit trail

Incident Response

  • Automated breach detection
  • Configurable alerts
  • Investigation support tools
  • Compliance reporting

Getting Started

Assessment

  1. Current State: Document volumes, sources, pain points
  2. Compliance Review: HIPAA requirements, BAA execution
  3. Integration Planning: EHR connectivity, workflow mapping
  4. Deployment Decision: Cloud, dedicated, or on-premises

Implementation Path

Phase Focus Timeline
1. Pilot Single department, limited document types 4-6 weeks
2. Expand Additional departments, EHR integration 6-10 weeks
3. Enterprise Full organization rollout 10-16 weeks

Next Steps