Voice agent testing for healthcare

From medical triaging to appointment scheduling, test every patient interaction

In a triage call, a wrong answer is a patient safety event and a leaked record is a reportable breach. Hamming simulates your patients, red-teams the agent before launch, and keeps the evidence for every release.

Hamming works with

All integrations
  • Vapi
  • Retell AI
  • ElevenLabs
  • LiveKit
  • Pipecat
  • OpenAI
  • Synthflow
  • Daily
01Test suite generation

Generate clinical test scenarios automatically

Create test suites that cover patient interactions, medical workflows, and edge cases specific to healthcare delivery, from appointment scheduling to medication refills to insurance verification.

Healthcare186 scenarios
Elderly caller asks for a refill in Spanish
Says “Celexa”, means “Celebrex”
Mentions chest pain mid-bookingroute to 911
Fig. 1 · Test suite generation
  • Generate realistic patient interaction scenarios

    • Simulate patient communication patterns (anxious, elderly, non-English speakers with 65+ language support)
    • Generate diverse patient personas (age groups, medical conditions, insurance types, regional and non-native accents)
    • Create medical edge cases (allergies, drug interactions, emergency scenarios, referral order processing)
  • Validate medical triaging & clinical conversations

    • Test symptom assessment and triage routing: check that patients are directed to the right care level (911, urgent care, scheduled appointment)
    • Simulate complete clinical conversations, from symptom intake through triage decisions
    • Validate that the agent follows approved clinical protocols and triage decision trees
  • Test stability across healthcare workflows

    • Simulate triage bottlenecks and after-hours surges in patient volume
    • Validate continuity when EMR, scheduling, or pharmacy APIs lag or fail
02AI voice agent testing

Healthcare voice agent validation

Run thousands of clinical scenarios on every release and catch the failures that would otherwise reach patients.

Healthcare release · 1,240 calls
1,202 calls passed
Read a lab result before checking date of birthHIPAA
Fig. 2 · AI voice agent testing
  • Prevent medication errors with specialized testing

    • Test recognition of sound-alike medications (e.g., 'Xanax' vs 'Zantac', 'Celebrex' vs 'Celexa')
    • Validate medication refill workflows: patient provides medication name, pharmacy, and dosage
    • Track call success rates: did the patient provide all required information?
  • Red-team for PHI leaks and patient safety

    • Test PHI handling and automatic redaction of protected health information
    • Verify HIPAA compliance workflows, patient consent capture, and data minimization
    • Run prompt injection, jailbreak, and social engineering probes before every release
  • EHR integration & tool call validation

    • Monitor API call success when integrating with Epic, Cerner, or practice management systems
    • Validate tool calls: what was called, when it was called, if it should have been called
    • Catch breaking changes from EMR updates or clinical protocol changes before they impact patients
03Concurrency load testing

Healthcare load testing & peak volume simulation

Simulate flu season, discharge surges, and appointment rushes, and confirm your agent holds up at peak volume.

Monday 8:00 · scheduling lines open

4,000

calls at once · p90 1.4s · none dropped

Fig. 3 · Concurrency load testing
“For us, unit tests are Hamming tests. Every time we talk about a new agent, everyone already knows: step two is Hamming.”
Simran Khara
Co-founder, NextDimensionAI
Read case study

Frequently asked
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