CipherStream Enterprise Data Extraction Platform
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- CipherStream Enterprise Data Extraction Platform
Data Security and Decryption
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- Data Security and Decryption
Webhook Signature Verification
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- Webhook Signature Verification
1. Patient Management
Patient Management
Core patient data and analytics for comprehensive patient relationship management.
Characteristics:
- Patient demographics - Core patient information and contact details
- Patient analytics - Lifetime value and business intelligence
- Follow-up management - Recall scheduling and tracking
Use Cases:
- Patient management systems
- Contact information updates
- Demographics analysis
- Marketing and communication
- Patient retention analysis
- Follow-up scheduling
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- 1. Patient Management
Patients
Patient Data: Extract comprehensive patient demographic and contact information.
Parameters:
customer_id(required): Your unique customer identifierfrom_date(required): Start date for filtering (YYYY-MM-DD format)to_date(required): End date for filtering (YYYY-MM-DD format)date_modifier(optional): Filter mode - "All" (default), "Created", or "Updated"mode(optional): Execution mode - "auto" (default), "stream", or "job"output_format(optional): Response format - "ndjson" (default), "json", or "csv"compression(optional): Compression type - "none" (default), "gzip", or "zip"
Date Modifier Behaviour:
- All: Returns all patient records regardless of creation/update dates
- Created: Returns patients created between from_date and to_date (uses ts_4_insert)
- Updated: Returns patients updated between from_date and to_date (uses ts_4_update)
Output Fields:
patient_id: Unique patient identifierfamily_head_id: Family head patient ID (if applicable)patient_card: Patient card numbercreated_date: Patient record creation timestampupdated_date: Patient record last update timestampis_deleted: Deletion status (0=active, 1=deleted)patient_status: Current patient status (Active/Inactive)title: Patient title (Mr, Mrs, Dr, etc.)first_name: Patient first namesurname: Patient surnameaddress1: Primary address lineaddress2: Secondary address linepostcode: Postal/ZIP codesuburb: Suburb/citystate: State/provincegender: Patient genderbirthdate: Date of birthemail_contact: Email addressphone_contact: Home phone numbermobile_contact: Mobile phone numbercontact_preference: Preferred communication methodno_contact: No contact flag (0=contact allowed, 1=no contact)chart_first_seen_date: First appointment/chart datefirst_treat_date: First treatment datenew_patient_date: Calculated new patient datelatest_seen_date: Most recent treatment datepractitioner_id: Assigned practitioner IDlocation_id: Primary practice location IDnew_patient_location_id: Location where patient was first seenhealth_fund_id: Primary health fund/insurance IDinsurance_fee_level: Fee level for insurance billingdiscount: Default discount percentagerecall_for_check_up_date: Next recall appointment datemedical_conditions: Has medical conditions flag (0=no, 1=yes)medical_conditions_recorded: Comma-separated list of medical conditionspatient_alerts: Patient alert flagspatient_alert_notes: Detailed alert notesallergies_present: Has allergies flag (0=no, 1=yes)allergies_recorded: Comma-separated list of allergiesmed_hist_last_updated: Last medical history update datereferring_patient_id: Referring patient ID (if patient referral)referral_source_id: Referral source type codereferral_date: Date of referral
Use Cases:
- Patient management systems integration
- Contact information synchronization
- Demographics analysis and reporting
- Marketing and communication campaigns
- Patient lifecycle tracking
- Referral source analysis
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- Patients
Patient Lifetime
Analytics Data: Extract patient lifetime value and statistics.
Use Cases:
- Patient value analysis
- Business intelligence reporting
- Customer relationship insights
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- Patient Lifetime
Recalls
Recall Data: Extract patient recall and follow-up schedules.
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- Recalls
2. Scheduling & Appointments
Scheduling & Appointments
Complete appointment management including scheduling, status tracking, and optimisation.
Characteristics:
- Core appointments - Main appointment records with intelligent processing
- Status management - Appointment statuses and types for workflow control
- Schedule optimisation - Cancellation tracking and waitlist management
- Communication - Reminder and notification systems
Use Cases:
- Appointment booking systems
- Schedule management
- Cancellation analysis
- Waitlist optimisation
- Patient communication
- Scheduling templates
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- 2. Scheduling & Appointments
3. Financial Management
Financial Management
Comprehensive financial data including transactions, payments, invoicing, and accounts receivable.
Characteristics:
- Core financials - Main financial transaction records
- Payment processing - Receipts, deposits, and payment allocations
- Billing management - Invoices and discount tracking
- Accounts receivable - Debtor management and outstanding balances
- Pricing structure - Fee schedules and payment types
Use Cases:
- Financial reporting and analysis
- Revenue tracking
- Accounting system integration
- Business intelligence dashboards
- Payment reconciliation
- Debt collection workflows
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- 3. Financial Management
4. Clinical & Treatment
Clinical & Treatment
Clinical data management including completed treatments and treatment planning.
Characteristics:
- Treatment records - Completed procedures and clinical work
- Treatment planning - Proposed treatments and care plans
- Service catalogue - Available procedures and service items
Use Cases:
- Clinical reporting and analysis
- Treatment outcome tracking
- Care plan management
- Service utilisation analysis
- Clinical decision support
- Quality assurance
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- 4. Clinical & Treatment
5. Business Operations
Business Operations
Business expense management and operational cost tracking.
Characteristics:
- Expense tracking - Business expense records with date filtering
- Expense categorisation - Expense categories for financial reporting
Use Cases:
- Expense tracking and reporting
- Budget analysis
- Tax preparation
- Cost centre reporting
- Financial planning
- Operational efficiency analysis
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- 5. Business Operations
6. Practice Setup & Configuration
Practice Setup & Configuration
Practice management configuration including staff, locations, and system setup.
Characteristics:
- Staff management - Practitioners and users with role definitions
- Location management - Practice locations and facilities
- System configuration - User roles and access control
- External relationships - Health funds, third parties, and referral sources
- Recall management - Recall types and follow-up configurations
Use Cases:
- Practice setup and configuration
- Staff management systems
- Location and facility management
- User access control
- External partner integration
- Follow-up system configuration
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- 6. Practice Setup & Configuration
7. Advanced Tools
Advanced Tools
Advanced data extraction capabilities for power users and custom requirements.
Characteristics:
- Direct table access - Extract from any accessible database table
- CALL syntax - Advanced stored procedure execution
- Extended timeout - 180-second timeout for large extractions
- Flexible parameters - Custom table names and date filtering
Use Cases:
- Custom data extractions
- Ad-hoc reporting requirements
- Data migration projects
- Specialised analytics queries
- Direct database access
- Custom integration needs
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- 7. Advanced Tools
8. Job Management
Job Management
Background job management for large data extractions and processing with comprehensive monitoring and control.
When Jobs Are Created:
- Large datasets: >100,000 rows automatically trigger job processing
- File size threshold: >50MB estimated output size
- Explicit job mode: User specifically requests job processing
- System load balancing: High system load triggers job queuing
- Complex queries: Resource-intensive extractions
- Scheduled extractions: Automated recurring data pulls
Job Lifecycle States:
- Queued - Job created and waiting for available processing resources
- Running - Data extraction in progress with real-time progress updates
- Completed - Data successfully extracted and available for download via S3
- Failed - Error occurred during processing with detailed error information
- Cancelled - Job manually cancelled by user or system timeout
Job Processing Features:
- Real-time progress tracking - Live percentage completion (0-100%)
- Row count monitoring - Current number of processed records
- Time estimation - Estimated completion time based on current progress
- Resource allocation - Dedicated processing resources for optimal performance
- Error handling - Detailed error messages and recovery suggestions
- Automatic retries - Built-in retry logic for transient failures
Download Management:
- S3 secure storage - Enterprise-grade cloud storage with encryption
- Presigned URLs - Time-limited, secure download links
- 12-hour expiry - URLs automatically expire for security
- Resume support - Partial download recovery for large files
- CDN acceleration - Global content delivery for faster downloads
- Bandwidth optimisation - Compressed files for efficient transfer
Monitoring & Notifications:
- Webhook integration - Real-time job completion alerts
- Email notifications - Optional email alerts for job status changes
- Progress callbacks - Periodic progress updates via webhooks
- Performance metrics - Execution time, throughput, and resource usage
- Audit logging - Complete job history and user actions
Security & Compliance:
- Data encryption - AES-256-GCM encryption for stored files
- Access control - Customer-specific job isolation
- Audit trail - Complete job lifecycle logging
- Automatic cleanup - Files removed after expiry for data protection
- IP restrictions - Optional IP-based access control
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- 8. Job Management
9. Integrations
Integrations
Advanced webhook system for real-time notifications, system integration, and automated workflow triggers.
Supported Events:
job.completed- Job finished successfully with download URL and metadatajob.failed- Job encountered an error with detailed failure informationjob.cancelled- Job was manually cancelled or timed outjob.progress- Periodic progress updates during job execution (optional)system.maintenance- Scheduled maintenance notificationsapi.rate_limit- Rate limit threshold warnings
Webhook Security Features:
- HMAC-SHA256 signature - Cryptographic payload verification using shared secret
- Timestamp validation - Prevents replay attacks with time-based verification
- IP whitelisting - Optional source IP restrictions for enhanced security
- TLS encryption - All webhook deliveries use HTTPS/TLS 1.3
- Signature verification - Complete payload integrity checking
Delivery & Reliability:
- Automatic retries - Up to 3 retry attempts with exponential backoff
- Delivery tracking - Complete success/failure monitoring and logging
- Timeout handling - 30-second response timeout with configurable settings
- Dead letter queue - Failed deliveries stored for manual retry
- Circuit breaker - Automatic endpoint disabling for persistent failures
- Rate limiting - Configurable delivery rate limits to prevent overwhelming
Webhook Payload Structure:
{
"event": "job.completed",
"timestamp": "2024-09-26T10:02:15Z",
"signature": "sha256=abc123def456...",
"delivery_id": "del_1758630144658",
"attempt": 1,
"data": {
"job_id": "appointments_1758630144658_c7511999",
"customer_id": "your-customer-id",
"procedure_name": "appointments",
"status": "completed",
"rows_processed": 45678,
"execution_time_seconds": 64.75,
"file_size_bytes": 2048576,
"s3_url": "https://secure-download-url",
"expires_at": "2024-09-26T22:02:15Z",
"output_format": "ndjson",
"compression": "gzip",
"metadata": {
"from_date": "2024-01-01",
"to_date": "2024-12-31",
"date_modifier": "Created"
}
}
}
Signature Verification:
import hmac
import hashlib
def verify_webhook_signature(payload, signature, secret):
expected_signature = hmac.new(
secret.encode('utf-8'),
payload.encode('utf-8'),
hashlib.sha256
).hexdigest()
return hmac.compare_digest(f"sha256={expected_signature}", signature)
Configuration Options:
- Event filtering - Subscribe to specific events only
- Custom headers - Add custom HTTP headers to webhook requests
- Retry configuration - Customize retry attempts and backoff strategy
- Timeout settings - Configure response timeout values
- Batch delivery - Group multiple events into single webhook call
Monitoring & Debugging:
- Delivery logs - Complete webhook delivery history
- Response tracking - HTTP status codes and response times
- Error analysis - Detailed failure reasons and troubleshooting
- Performance metrics - Delivery success rates and latency statistics
- Test endpoints - Webhook testing and validation tools
Use Cases:
- Automated workflows - Trigger business processes when jobs complete
- Real-time notifications - Instant alerts when data extraction finishes
- System integration - Connect CipherStream to other business systems
- Data pipeline automation - Chain multiple data processing steps
- Monitoring and alerting - Track job completion and system health
- Business intelligence - Trigger report generation and dashboard updates
- Customer notifications - Inform end users when their data is ready
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- 9. Integrations
10. Documentation
Documentation
API documentation and OpenAPI schemas for integration and development.
Available Documentation:
- Interactive Docs - Swagger UI for testing endpoints
- OpenAPI Schema - Machine-readable API specification
- Integration Guides - Code examples and best practices
Use Cases:
- Interactive API testing and exploration
- Code generation for client libraries
- API documentation for development teams
- Integration planning and validation
- Request/response format reference
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- 10. Documentation