Multi-EMR Integration Strategy for Health Systems

What You'll Learn:

🔧 How to deploy unified AI across Epic, Cerner, athenahealth, and MEDITECH environments

📊 Technical architecture for seamless multi-EMR integration without workflow disruption

⚡ Implementation strategies that reduce physician burnout by 13% in 30 days

🔒 Security and compliance frameworks for enterprise healthcare AI deployment

Health systems operating multiple EMR platforms face a critical challenge: administrative burden doesn't discriminate by vendor. Whether your physicians work in Epic, Cerner, athenahealth, or MEDITECH environments, they're spending 4+ hours daily on documentation and clicking through workflows 16,000+ times per shift. Traditional AI scribes address documentation in one system but leave the broader workflow problem unsolved. A unified multi-EMR integration strategy is essential for enterprise healthcare AI that actually reduces burnout.

📋 Executive Summary

Modern health systems operate in heterogeneous EMR environments—often managing Epic in hospitals, athenahealth in ambulatory settings, and legacy Cerner or MEDITECH systems in acquired facilities. Deploying AI solutions that work seamlessly across all platforms is no longer optional; it's a strategic imperative for reducing physician burnout at scale.

This technical guide provides health system leaders, CIOs, and CMIOs with a comprehensive framework for implementing a unified AI platform across multiple EMR systems. Unlike point solutions that require separate deployments per vendor, a true multi-EMR integration strategy enables:

Key Capabilities:

Single AI platform deployment across Epic, Cerner, athenahealth, MEDITECH, and 30+ additional EMR systems
Unified clinical workflow orchestration regardless of underlying EMR vendor
Consistent physician experience across all practice settings and facilities
Centralized monitoring, governance, and analytics across the enterprise

Integration Approach: Antidote's Conversational Clinical Operating System leverages modern interoperability standards (HL7 FHIR, SMART on FHIR) combined with vendor-specific APIs to provide deep, bi-directional integration. This architecture enables not just documentation but proactive workflow orchestration—anticipating the next three clinical actions regardless of which EMR the physician is using.

Security and Compliance: Enterprise-grade security with HIPAA compliance, SOC 2 Type II certification, end-to-end encryption, and comprehensive audit logging ensures that multi-EMR integration meets the highest standards for protected health information across all systems.

Implementation Timeline: Typical deployment completes in 5-10 days per EMR environment, with parallel implementation possible across multiple systems. Physicians experience immediate workflow improvements without disrupting existing clinical operations.

🏗️ Architecture Overview

Understanding the technical architecture of multi-EMR integration is essential for health system leaders evaluating enterprise healthcare AI solutions. The architecture must be robust enough to handle diverse EMR platforms while remaining flexible enough to adapt to each vendor's unique data models and workflows.

System Architecture

Component Breakdown

1. Clinical Interface Layer The physician-facing component operates consistently across all EMR environments. Physicians interact with Antidote through natural conversation, regardless of whether they're documenting in Epic's Hyperspace, Cerner's PowerChart, athenahealth's athenaClinicals, or MEDITECH Expanse. This consistency eliminates the cognitive burden of switching between different AI tools for different systems.

2. Integration Engine The core integration engine serves as the intelligent middleware between Antidote's AI platform and multiple EMR systems. Key capabilities include:

Protocol Translation: Converts between FHIR, HL7 v2.x, HL7 v3, and vendor-specific API formats
Data Normalization: Maps disparate EMR data models to a unified clinical data structure
Workflow Orchestration: Coordinates actions across multiple systems simultaneously
Error Handling: Manages connection failures, timeouts, and data conflicts gracefully

3. Authentication and Authorization Enterprise single sign-on (SSO) integration supports SAML 2.0, OAuth 2.0, and OpenID Connect protocols. Physicians authenticate once and gain seamless access across all integrated EMR systems while maintaining role-based access controls (RBAC) specific to each environment.

4. Data Synchronization Engine Real-time bidirectional data flow ensures that clinical information remains consistent across all systems. When a physician documents a patient encounter in Epic, relevant data automatically propagates to Cerner, athenahealth, or other connected systems based on configured business rules.

Data Flow Architecture

The data flow follows a secure, encrypted path through multiple validation layers:

Capture: Physician speech or text input captured during patient encounter
Processing: AI processes clinical content, extracts structured data, and generates proactive recommendations
Validation: Clinical decision support rules validate against evidence-based guidelines
Routing: Integration engine routes data to appropriate EMR system(s) based on patient context
Execution: EMR-specific APIs execute documentation, orders, and workflow actions
Confirmation: Physician receives real-time confirmation of completed actions
Audit: All transactions logged for compliance and quality assurance

Integration Points

Multi-EMR integration requires connection points at multiple levels:

Integration Level	Purpose	Technology	Update Frequency
Patient Demographics	Identity matching across systems	HL7 ADT, FHIR Patient	Real-time
Clinical Documentation	Notes, assessments, plans	FHIR DocumentReference, CDA	Real-time
Orders and Prescriptions	Medications, labs, imaging	FHIR MedicationRequest, ServiceRequest	Real-time
Results and Reports	Lab values, radiology reports	HL7 ORU, FHIR Observation	Real-time
Scheduling	Appointments, follow-ups	FHIR Appointment, Schedule	Near real-time
Billing and Coding	ICD-10, CPT, charges	HL7 DFT, FHIR Claim	Batch/Real-time

Technology Stack

Backend Infrastructure:

Microservices architecture deployed on HIPAA-compliant cloud infrastructure (AWS, Azure, or GCP)
Kubernetes orchestration for high availability and auto-scaling
Redis caching for sub-100ms response times
PostgreSQL for structured clinical data with encryption at rest

Integration Technologies:

HL7 FHIR R4 (primary interoperability standard)
HL7 v2.x for legacy system compatibility
SMART on FHIR for embedded EMR applications
RESTful APIs with OAuth 2.0 authentication
WebSocket connections for real-time bidirectional communication

AI and Machine Learning:

Large language models (LLMs) fine-tuned on clinical documentation
Natural language understanding (NLU) for clinical intent recognition
Predictive models for proactive workflow recommendations
Continuous learning from physician feedback and outcomes

This architecture enables Conversational Clinical Operating System functionality that goes beyond simple documentation to orchestrate the entire clinical workflow across any EMR platform.

🔌 EMR Integration Strategy

Effective multi-EMR integration requires deep understanding of each vendor's technical capabilities, data models, and integration standards. Health systems need a unified approach that accommodates vendor-specific requirements while maintaining consistent clinical workflows for physicians.

Supported EMR Systems

Antidote provides native integration with major EMR platforms and standards-based connectivity for 30+ additional systems:

Tier 1: Deep Native Integration

Epic Systems: EpicCare Ambulatory, Inpatient, Emergency Department
Oracle Cerner: PowerChart, Millennium Platform
athenahealth: athenaClinicals, athenaOne
MEDITECH: Expanse, 6.x platforms

Tier 2: FHIR-Based Integration

Allscripts Professional, Sunrise
eClinicalWorks
NextGen Healthcare
Greenway Health
Practice Fusion
DrChrono
20+ additional certified FHIR-compliant systems

Tier 3: Custom Integration

Legacy systems via HL7 v2.x
Proprietary EMR platforms
Custom-built health system solutions

Integration Methods by EMR Platform

EMR System	Primary Method	Secondary Method	Data Latency	Bi-directional
Epic	SMART on FHIR, Epic APIs	HL7 FHIR R4	<100ms	✅ Yes
Cerner Oracle Health	Cerner APIs, FHIR	HL7 v2.x	<200ms	✅ Yes
athenahealth	athenaNet APIs	FHIR	<150ms	✅ Yes
MEDITECH	Magic APIs, FHIR	HL7 v2.x	<300ms	✅ Yes
Allscripts	FHIR, Web Services	HL7 v2.x	<250ms	✅ Yes
eClinicalWorks	FHIR APIs	HL7 v2.x	<200ms	✅ Yes

Epic Integration Deep Dive

Epic represents 31% of hospital EMR market share (2025 KLAS data), making it the most critical integration for health systems. Antidote's Epic integration leverages multiple connection methods:

SMART on FHIR Integration:

Embedded within Epic Hyperspace as a native application
Single sign-on through Epic's authentication
Access to patient context without separate login
Launches directly from patient chart

Epic APIs:

Interconnect APIs for deep system integration
Real-time access to patient demographics, allergies, medications, problems
Write capabilities for clinical notes, orders, and tasks
Support for Epic's Cosmos research database for population health analytics

Integration Workflow:

Physician opens patient chart in Epic
Antidote launches automatically in side panel or overlay
AI accesses patient context from Epic's FHIR resources
Physician conducts visit with conversational documentation
Structured data writes back to Epic discrete fields
Orders, prescriptions, and referrals execute through Epic APIs
Clinical decision support rules validate against Epic's knowledge base

Cerner Oracle Health Integration

Cerner powers 26% of hospital EMR deployments and requires specialized integration approaches:

Cerner APIs:

MillenniumObjects for deep platform access
FHIR R4 implementation for modern interoperability
CCL (Cerner Command Language) for custom data extraction
PowerChart integration for ambulatory and inpatient settings

Key Considerations:

Cerner's acquisition by Oracle (2022) brings enhanced cloud capabilities
Migration path from Millennium to Oracle Health platform
Support for both legacy and modern Cerner architectures
Integration with Cerner's HealtheIntent population health platform

athenahealth Integration

athenahealth serves 18% of ambulatory practices with cloud-native architecture:

athenaNet APIs:

RESTful API architecture with comprehensive documentation
Real-time access to clinical, administrative, and financial data
Mobile-first design supports physician workflow on any device
Integration with athenahealth's Marketplace ecosystem

Unique Capabilities:

Cloud-native platform enables faster deployment (typically 3-5 days)
Network-based updates benefit all athenahealth clients simultaneously
Strong focus on ambulatory workflows and practice efficiency
Built-in revenue cycle management integration

MEDITECH Integration

MEDITECH maintains significant presence in community hospitals and requires specialized integration:

MEDITECH APIs:

Magic Integration Engine for MEDITECH 6.x
Web Services API for Expanse platform
HL7 v2.x for legacy MEDITECH systems
FHIR implementation in newer Expanse deployments

Implementation Considerations:

Wide variation in MEDITECH versions across health systems
Often requires on-premises integration components
Strong presence in rural and community hospital settings
Migration path from legacy to Expanse platform

Data Synchronization

Effective multi-EMR integration requires sophisticated data synchronization to maintain consistency across platforms:

Real-Time Synchronization:

Patient demographics and insurance information
Clinical documentation and encounter notes
Medication orders and prescriptions
Laboratory and imaging orders
Vital signs and flowsheet data

Near Real-Time Synchronization (5-15 minute delay):

Laboratory results and reports
Radiology results and images
Pathology reports
Consultation notes from specialists

Batch Synchronization (daily or scheduled):

Historical medical records
Billing and claims data
Quality metrics and reporting
Population health analytics

Bi-Directional Updates

True multi-EMR integration requires data to flow in both directions:

Antidote → EMR (Write Operations):

Clinical documentation to progress notes
Orders to CPOE systems
Prescriptions to e-prescribing modules
Referrals to scheduling systems
Tasks to physician work queues
Billing codes to charge capture

EMR → Antidote (Read Operations):

Patient demographics and insurance
Medication lists and allergies
Problem lists and diagnoses
Laboratory and imaging results
Previous encounter documentation
Clinical decision support rules

Conflict Resolution: When data conflicts arise between systems, Antidote employs intelligent conflict resolution:

Timestamp-based prioritization (most recent wins)
Source system authority (designated system of record for specific data types)
Physician review for critical clinical data
Audit trail of all conflict resolutions

Custom Integration Support

Health systems with unique requirements benefit from Antidote's custom integration capabilities:

Legacy EMR systems without standard APIs
Homegrown clinical applications
Specialized departmental systems (ED, OR, ICU)
Research databases and registries
Population health platforms
Social determinants of health data sources

Custom integrations typically require 2-4 weeks for development and testing, with ongoing support included in enterprise agreements.

This comprehensive approach to multi-EMR integration enables health systems to deploy a unified health system AI strategy that reduces physician burden regardless of which EMR platform they're using at any given moment.

🔒 Security & Compliance

Enterprise healthcare AI deployment across multiple EMR systems demands the highest standards for data security, privacy, and regulatory compliance. Health systems must ensure that multi-EMR integration meets HIPAA requirements, protects patient privacy, and maintains data integrity across all connected systems.

HIPAA Compliance Framework

Antidote's multi-EMR integration platform maintains full HIPAA compliance through comprehensive administrative, physical, and technical safeguards:

Administrative Safeguards:

Designated Privacy and Security Officers
Comprehensive workforce training on PHI handling
Regular risk assessments and security audits
Incident response and breach notification procedures
Business Associate Agreements (BAA) with all health system clients
Vendor management program for all subcontractors

Physical Safeguards:

HIPAA-compliant data centers with 24/7 monitoring
Biometric access controls and video surveillance
Redundant power and environmental controls
Secure media disposal procedures
Workstation security policies

Technical Safeguards:

Unique user identification and authentication
Automatic logoff after inactivity
Encryption of data in transit and at rest
Audit controls and access logging
Integrity controls to prevent unauthorized PHI alteration
Transmission security with TLS 1.3

SOC 2 Type II Certification

Antidote maintains SOC 2 Type II certification audited annually by independent third-party assessors. This certification validates controls across five trust service criteria:

Trust Service Criteria	Antidote Implementation	Audit Frequency
Security	Multi-layer security architecture, penetration testing	Annual
Availability	99.9% uptime SLA, redundant systems	Annual
Processing Integrity	Data validation, error handling, transaction logging	Annual
Confidentiality	Encryption, access controls, data classification	Annual
Privacy	Privacy by design, consent management, data minimization	Annual

Data Encryption

All protected health information remains encrypted throughout its lifecycle:

Encryption at Rest:

AES-256 encryption for all stored data
Encrypted database storage with transparent data encryption (TDE)
Encrypted file systems for application servers
Encrypted backups with separate key management
Hardware security modules (HSM) for key storage

Encryption in Transit:

TLS 1.3 for all network communications
Perfect forward secrecy (PFS) to prevent decryption of past sessions
Certificate pinning to prevent man-in-the-middle attacks
VPN tunnels for on-premises integration components
Encrypted API calls to all EMR systems

Key Management:

Separate encryption keys per health system client
Automatic key rotation every 90 days
Multi-party authorization for key access
Secure key escrow for disaster recovery
Cryptographic key destruction upon contract termination

Access Controls and Authentication

Multi-EMR integration requires sophisticated access controls to ensure appropriate data access:

Authentication Methods:

Single Sign-On (SSO) via SAML 2.0, OAuth 2.0, OpenID Connect
Multi-factor authentication (MFA) required for all administrative access
Biometric authentication support for mobile devices
Integration with health system Active Directory/LDAP
Session management with automatic timeout

Authorization Framework:

Role-Based Access Control (RBAC) aligned with EMR permissions
Attribute-Based Access Control (ABAC) for fine-grained policies
Just-in-time (JIT) access provisioning
Principle of least privilege across all systems
Break-glass procedures for emergency access

Access Control Matrix:

Role	Clinical Documentation	Order Entry	Patient Demographics	System Configuration
Attending Physician	Read/Write	Read/Write	Read	No Access
Resident Physician	Read/Write	Read/Write	Read	No Access
Nurse Practitioner	Read/Write	Read/Write	Read	No Access
Medical Assistant	Read	No Access	Read	No Access
System Administrator	Read (audit only)	No Access	Read (audit only)	Full Access
Privacy Officer	Read (audit only)	No Access	Read (audit only)	Audit Access

Audit Logging

Comprehensive audit trails capture all system activity for compliance, security monitoring, and quality assurance:

Logged Events:

User authentication and authorization attempts
PHI access (read, write, update, delete operations)
System configuration changes
Integration transactions with EMR systems
Failed access attempts and security violations
Data exports and bulk operations
Administrative actions

Audit Log Characteristics:

Immutable logs (write-once, read-many)
Tamper-evident with cryptographic hashing
Retention for 7 years minimum (configurable per state requirements)
Real-time monitoring with automated alerting
Integration with health system SIEM platforms
Searchable and reportable for compliance audits

Sample Audit Log Entry:

Timestamp: 2026-07-01T14:32:18.234Z
User: dr.smith@healthsystem.org
Action: PATIENT_CHART_ACCESS
Patient MRN: 12345678
EMR System: Epic Production
IP Address: 10.45.23.112
Session ID: abc123def456
Result: SUCCESS
Data Accessed: Demographics, Medications, Allergies, Problem List

Business Associate Agreement (BAA) Requirements

Health systems deploying multi-EMR integration must execute a Business Associate Agreement with Antidote that includes:

Required BAA Terms:

Permitted uses and disclosures of PHI
Safeguards to prevent unauthorized use or disclosure
Subcontractor management and downstream BAAs
Breach notification procedures (within 24 hours of discovery)
PHI access, amendment, and accounting rights
Termination provisions and PHI return/destruction
Liability and indemnification

Subcontractor Management: Antidote maintains BAAs with all subcontractors who may access PHI:

Cloud infrastructure providers (AWS, Azure, GCP)
AI model training partners (with de-identified data only)
Support and monitoring service providers
Disaster recovery and backup services

Compliance with Additional Regulations

Beyond HIPAA, multi-EMR integration must comply with additional healthcare regulations:

21st Century Cures Act:

Information blocking prohibition compliance
Patient access to health information
API requirements for data exchange
Standardized API documentation

HITECH Act:

Breach notification requirements
Meaningful use attestation support
Enhanced enforcement and penalties

State Privacy Laws:

California Consumer Privacy Act (CCPA) compliance
State-specific breach notification requirements
Biometric data regulations (Illinois BIPA, Texas)
Telemedicine and cross-state licensure considerations

International Standards (for global health systems):

GDPR compliance for EU patient data
Data residency requirements
Cross-border data transfer safeguards

Security Monitoring and Incident Response

Proactive security monitoring detects and responds to threats in real-time:

Security Operations Center (SOC):

24/7/365 monitoring of all systems
Real-time threat detection and analysis
Integration with threat intelligence feeds
Automated response to common threats
Escalation procedures for critical incidents

Incident Response Plan:

Detection: Automated monitoring identifies potential security incident
Analysis: Security team assesses severity and scope
Containment: Immediate actions to prevent further compromise
Eradication: Remove threat and close vulnerabilities
Recovery: Restore systems to normal operations
Notification: Inform affected parties per regulatory requirements
Post-Incident Review: Document lessons learned and improve controls

Breach Notification Timeline:

Internal notification: Within 1 hour of discovery
Health system notification: Within 24 hours
Patient notification: Within 60 days (as required by HIPAA)
HHS notification: Within 60 days for breaches affecting 500+ individuals
Media notification: For breaches affecting 500+ individuals in a jurisdiction

This comprehensive security and compliance framework ensures that multi-EMR integration meets the rigorous requirements of enterprise healthcare while protecting patient privacy and maintaining data integrity across all connected systems.

🚀 Implementation Guide

Deploying a unified AI platform across multiple EMR systems requires careful planning, coordination, and execution. This implementation guide provides health systems with a structured approach to multi-EMR integration that minimizes disruption while maximizing physician adoption.

Pre-Implementation Requirements

Before beginning deployment, health systems must complete several preparatory steps:

1. Technical Assessment

Inventory all EMR systems and versions currently in use
Document integration points and existing interfaces
Assess network infrastructure and bandwidth capacity
Review firewall rules and security policies
Identify on-premises vs. cloud-hosted systems
Evaluate single sign-on (SSO) capabilities

2. Stakeholder Alignment

Secure executive sponsorship from CMIO and CIO
Engage physician champions from each department
Coordinate with IT security and compliance teams
Align with EMR vendor relationship managers
Establish project governance structure
Define success metrics and KPIs

3. Environmental Preparation

Provision test environments for each EMR system
Establish development, staging, and production deployment paths
Configure network connectivity between Antidote and EMR systems
Set up monitoring and logging infrastructure
Prepare disaster recovery and backup procedures
Document current-state workflows for comparison

4. Resource Allocation

Assign dedicated project manager
Identify technical resources from IT and clinical informatics
Schedule physician training sessions
Allocate time for testing and validation
Plan for go-live support coverage
Budget for potential custom integration needs

Implementation Process

The implementation follows a phased approach that enables parallel deployment across multiple EMR systems:

Configuration Steps by EMR System

Epic Configuration:

Step 1: SMART on FHIR Registration

Register Antidote as SMART on FHIR application in Epic App Orchard
Configure OAuth 2.0 client credentials
Define required FHIR resource scopes (Patient, Encounter, Observation, MedicationRequest)
Set redirect URIs for authentication flow

Step 2: Epic Interconnect Setup

Establish VPN or dedicated network connection
Configure Epic Web Services endpoints
Set up service accounts with appropriate permissions
Test connectivity to Epic Interconnect APIs

Step 3: Integration Mapping

Map Antidote clinical concepts to Epic flowsheets
Configure order preference lists and order sets
Establish documentation templates and SmartText integration
Define clinical decision support rule integration

Step 4: User Provisioning

Configure SSO integration with Epic authentication
Map Epic user roles to Antidote permissions
Set up physician profiles and preferences
Enable automatic user provisioning via SCIM

Cerner Configuration:

Step 1: Cerner API Access

Request API credentials from Cerner code console
Configure OAuth 2.0 application registration
Establish FHIR endpoint connections
Set up MillenniumObjects access if required

Step 2: PowerChart Integration

Configure Cerner PowerChart launch points
Set up context management for patient selection
Establish documentation integration with PowerNote
Configure order integration with PowerOrders

Step 3: Data Mapping

Map Antidote clinical vocabulary to Cerner nomenclature
Configure result retrieval from Cerner PathNet and RadNet
Set up medication mapping to Cerner Multum drug database
Establish problem list integration with Cerner Health Maintenance

athenahealth Configuration:

Step 1: athenaNet API Setup

Register application in athenahealth Developer Portal
Configure API keys and authentication tokens
Establish webhook endpoints for real-time updates
Set up rate limiting and throttling parameters

Step 2: Clinical Workflow Integration

Configure encounter documentation integration
Set up order entry for labs, imaging, and prescriptions
Establish patient communication integration
Configure billing and coding capture

Step 3: Practice-Specific Customization

Map practice-specific templates and order sets
Configure specialty-specific workflows
Set up provider preferences and favorites
Establish quality measure tracking

Testing Protocols

Rigorous testing ensures reliable multi-EMR integration before physician use:

Unit Testing (Per EMR System):

Authentication and authorization flows
Patient context retrieval
Clinical documentation write-back
Order entry for medications, labs, imaging
Results retrieval and display
Error handling and recovery

Integration Testing (Cross-System):

Patient identity matching across EMR systems
Data synchronization between platforms
Concurrent access to multiple EMR systems
Conflict resolution for duplicate data
Performance under load

User Acceptance Testing (UAT):

Physician champions test realistic clinical scenarios
Document workflow efficiency improvements
Validate clinical accuracy of AI suggestions
Confirm appropriate handling of edge cases
Gather feedback for optimization

Testing Scenarios:

Test Scenario	Epic	Cerner	athenahealth	Expected Result
New patient encounter documentation	✅	✅	✅	Complete note in all systems
Medication order with allergy check	✅	✅	✅	Alert displayed, order held
Lab order with automatic ICD-10 coding	✅	✅	✅	Order placed with appropriate diagnosis
Imaging order with prior authorization	✅	✅	✅	PA workflow initiated
Follow-up appointment scheduling	✅	✅	✅	Appointment created in EMR
Prescription to pharmacy	✅	✅	✅	e-Prescription transmitted

Go-Live Checklist

One Week Before Go-Live:

Complete all testing and validation
Conduct final physician training sessions
Verify all integration endpoints are operational
Confirm support team coverage for go-live
Prepare rollback procedures if needed
Communicate go-live date to all stakeholders

Day Before Go-Live:

Final system health check across all EMR integrations
Verify physician accounts are provisioned
Confirm monitoring and alerting is active
Brief support team on escalation procedures
Send reminder communications to physicians

Go-Live Day:

Monitor system performance in real-time
Provide at-the-elbow support for physicians
Track adoption metrics and usage patterns
Address issues immediately as they arise
Collect physician feedback throughout the day
Conduct end-of-day debrief with implementation team

First Week Post Go-Live:

Daily check-ins with physician champions
Monitor error logs and system performance
Address any integration issues promptly
Optimize based on real-world usage patterns
Conduct additional training for physicians who need support
Document lessons learned for subsequent phases

Implementation Timeline

Typical deployment timeline for multi-EMR integration:

Single EMR System: 5-10 Days

Days 1-2: Technical setup and configuration
Days 3-4: Testing and validation
Day 5: Physician training
Days 6-7: Go-live and initial support
Days 8-10: Optimization and refinement

Multiple EMR Systems (Parallel Deployment): 10-15 Days

Days 1-3: Simultaneous technical setup for all systems
Days 4-6: Parallel testing and validation