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Telehealth Platform Scales Reliably Through High-Volume Performance Testing

About the Client

The client was a national telemedicine provider supporting virtual care across multiple states. Anticipating seasonal spikes during flu season, the platform needed to handle tens of thousands of daily visits without performance degradation. Previous load issues had exposed risks around scheduling, video sessions, billing workflows, and FHIR synchronization.

To avoid service disruptions and revenue loss, the provider partnered with Zymr to validate platform performance under extreme demand.

Key Outcomes

99.98% Platform Uptime Under Peak Demand
25,000 Concurrent Sessions Supported

Business Challenges

The platform needed to sustain up to 75,000 daily visits and tens of thousands of concurrent users. Failures during peak demand could result in missed consultations, patient dissatisfaction, and regulatory exposure. The client required clear evidence that the system could scale reliably before seasonal traffic surged.

Business Impacts / Key Results Achieved

Zymr helped the telehealth provider scale confidently during its most critical operating period. Proactive performance testing protected revenue, ensured continuity of care, and reinforced trust among patients and clinicians.

  • 99.98% Platform Uptime Under Peak Demand
  • 25,000 Concurrent Sessions Supported
  • 23 Critical Performance Bottlenecks Resolved Pre-Launch
  • 450,000 Potential Visit Failures Prevented During Flu Season

Stable Patient and Provider Experience During Demand Spikes

Strategy and Solutions

Zymr executed a rigorous performance and scalability testing program tailored to telehealth workloads.

  • End-to-End Load and Stress Testing
    Simulated peak demand across scheduling, video, billing, and EHR sync workflows.
  • Concurrency Validation
    Tested platform stability with 25,000 concurrent sessions.
  • Bottleneck Identification and Root-Cause Analysis
    Identified 23 performance constraints across infrastructure and application layers.
  • Pre-Launch Optimization Support
    Worked with engineering teams to remediate issues before production release.

Reliability and Uptime Assurance
Validated system behavior under sustained high load conditions.

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