Healthcare Use Case
How healthcare organizations use Archivus for patient records, research documents, and compliance.
Overview
Healthcare organizations handle sensitive documents: patient records, research papers, compliance documents, policy manuals. Archivus helps healthcare teams:
- Patient records - Organize and search patient documents securely
- Research - Search medical literature and research papers
- Compliance - Track HIPAA compliance and document retention
- Policy management - Manage policies and procedures
Key Use Cases
Patient Records Management
Challenge: Organizing and finding patient documents quickly while maintaining HIPAA compliance.
Solution: Use Archivus with proper security and organization:
from archivus import ArchivusClient
client = ArchivusClient(api_key="YOUR_API_KEY", tenant="healthcare-org")
# Create patient folder structure
patients_folder = client.folders.create("Patients", color="#3B82F6")
# Create patient-specific folder
patient_123 = client.folders.create(
"Patient 12345",
parent_id=patients_folder.id,
color="#10B981"
)
# Upload patient documents
documents = [
"patient-12345-medical-history.pdf",
"patient-12345-lab-results.pdf",
"patient-12345-treatment-plan.pdf"
]
for doc in documents:
client.documents.upload(
doc,
folder_id=patient_123.id,
enable_ai=True,
tags=["patient_12345", "medical_record", "HIPAA"]
)
# Search patient documents
patient_docs = client.search.search(
query="documents for patient 12345",
mode="semantic",
folder_id=patient_123.id
)
Benefits:
- HIPAA compliant - Complete access control and audit trails
- Quick access - Find patient documents instantly
- Secure sharing - Share documents with authorized personnel only
- Audit ready - Complete access history for compliance
Medical Research
Challenge: Finding relevant research papers and medical literature.
Solution: Use semantic search to find research by concept:
# Upload research papers
research_folder = client.folders.create("Research Papers", color="#8B5CF6")
# Upload papers
papers = [
"diabetes-treatment-study-2024.pdf",
"cardiac-intervention-research.pdf",
"oncology-clinical-trial.pdf"
]
for paper in papers:
client.documents.upload(
paper,
folder_id=research_folder.id,
enable_ai=True,
tags=["research", "medical_literature"]
)
# Search by medical concept
diabetes_research = client.search.search(
query="research papers about diabetes treatment and management",
mode="semantic",
folder_id=research_folder.id
)
# Find similar studies
similar_studies = client.search.search(
query="studies similar to cardiac intervention research",
mode="semantic"
)
Benefits:
- Concept search - Find papers by medical concepts, not just keywords
- Related research - Discover related studies automatically
- Literature review - Quickly find relevant papers for research
Compliance & Policy Management
Challenge: Managing HIPAA compliance and policy documents.
Solution: Use tags and search to track compliance:
# Upload compliance documents
compliance_folder = client.folders.create("Compliance", color="#EF4444")
# Upload policies
policies = [
"HIPAA-compliance-policy.pdf",
"patient-privacy-policy.pdf",
"data-security-policy.pdf"
]
for policy in policies:
client.documents.upload(
policy,
folder_id=compliance_folder.id,
enable_ai=True,
tags=["compliance", "HIPAA", "policy"]
)
# Find compliance documents
hipaa_docs = client.search.search(
query="HIPAA compliance documents and policies",
mode="semantic",
tag_id="tag_HIPAA"
)
# Check policy compliance
compliance_check = client.chat.create_session(
document_ids=[p.id for p in hipaa_docs],
name="Compliance Check"
)
response = client.chat.ask(
compliance_check.id,
"What are the key HIPAA compliance requirements?"
)
Benefits:
- Policy tracking - Organize and track all policies
- Compliance checks - Verify compliance requirements
- Easy updates - Find and update policies quickly
Clinical Documentation
Challenge: Extracting information from clinical notes and reports.
Solution: Use AI to analyze clinical documents:
# Upload clinical note
clinical_note = client.documents.upload("patient-visit-note.pdf")
# Extract key information
session = client.chat.create_session(clinical_note.id, "Clinical Note Analysis")
questions = [
"What is the chief complaint?",
"What are the vital signs?",
"What is the diagnosis?",
"What is the treatment plan?",
"Are there any follow-up requirements?"
]
clinical_data = {}
for question in questions:
response = client.chat.ask(session.id, question)
clinical_data[question] = response.content
# Generate summary
print("Clinical Note Summary")
for question, answer in clinical_data.items():
print(f"{question}: {answer}")
Benefits:
- Quick extraction - Extract key information from notes
- Consistent format - Standardized data extraction
- Time savings - Reduce time spent on documentation
Real-World Example
Hospital: Regional Medical Center
Challenge:
- Managing 50,000+ patient records
- Finding relevant research papers for clinical decisions
- Ensuring HIPAA compliance across all departments
- Managing policy updates and compliance
Solution with Archivus:
- Organized patient records by patient ID
- Uploaded research library
- Tagged all documents with compliance requirements
- Used semantic search for research discovery
Results:
- 85% faster patient record retrieval
- 90% faster research paper discovery
- 100% HIPAA compliance with audit trails
- Improved patient care with faster access to information
Security & Compliance
HIPAA Compliance
Archivus provides:
- Access control - Role-based permissions
- Audit logging - Complete access history
- Data encryption - Encrypted storage and transmission
- Secure sharing - Time-limited, password-protected links
PHI Protection
- PII detection - Automatically detect and flag PHI
- Access restrictions - Limit access to authorized personnel
- Audit trails - Track all document access
- Secure deletion - Permanent deletion with audit trail
Recommended Features
Essential
- Document upload and organization
- Semantic search
- Secure sharing and permissions
- Audit logging
Recommended
- Workspace collaboration
- PII detection and scanning
- Compliance tracking
- Document versioning
Advanced
- Custom AI agents for healthcare workflows
- Integration with EHR systems
- Advanced analytics and reporting
- AI traffic logging (Team/Enterprise)
Pricing
Healthcare organizations typically use:
- Pro Plan ($99 CAD/month) - For small practices
- Team Plan ($249 CAD/month) - For medium organizations
- Enterprise Plan (Custom) - For large hospitals with compliance requirements
Next Steps
- Get Started - Set up Archivus
- Security Overview - Learn about security features
- Compliance Guide - Understand compliance features
- Contact Sales - Discuss enterprise needs
Questions? Contact support@ubiship.com or sales@ubiship.com