Healthcare AI QA

AI Chatbot Testing
for Healthcare

A healthcare AI chatbot that gives wrong symptom guidance, incorrect medication information, or misses a high-risk escalation isn't just a bad product — it's a patient safety issue. We test clinical accuracy and compliance before your patients interact.

Free 100-Conversation Audit What We Test

Healthcare AI — The High Stakes

⚠️Symptom checker misses red-flag symptoms → patient delays seeking emergency care → patient harm
⚠️Wrong medication interaction guidance → adverse drug event → regulatory inquiry and liability
⚠️Hallucinated treatment protocol → patient follows wrong guidance → clinical deterioration
⚠️PHI exposed in chatbot response or logs → HIPAA violation → ₹ crore fine + reputational damage
⚠️AI fails to escalate suicidal ideation → mandatory safe messaging guidelines violation
100+
Clinical test scenarios
48hr
Report delivery
HIPAA
Compliance framework
MD-led
Clinical evaluation team

Free 100-Conversation AI Reliability Audit

We run 100 clinical scenarios against your healthcare AI — symptom accuracy, escalation triggers, medication guidance, HIPAA compliance, and safe messaging. Full report with patient-safety risk assessment in 48 hours.

1
Share agent access or transcripts
2
100 clinical test scenarios
3
Safety + compliance report
4
Clinical expert review included
Claim Free Audit
Services
What We Test in Healthcare AI
🩺

Clinical Accuracy Testing

Clinical fact accuracy verified by MD domain experts — not just LLM evaluators.

  • Symptom triage accuracy vs. clinical protocols
  • Red-flag symptom recognition and escalation
  • Medication dosage accuracy (common medications)
  • Drug interaction guidance correctness
  • Diagnosis suggestion appropriateness
🚨

Safety & Escalation Testing

Healthcare AI that doesn't escalate correctly is a patient safety risk.

  • Emergency symptom recognition (chest pain, stroke)
  • Mental health safe messaging protocols
  • Suicidal ideation escalation testing
  • Pediatric vs. adult response differentiation
  • When to refer to specialist — accuracy
🔒

HIPAA / DPDP Compliance

Healthcare AI that touches PHI must meet strict data handling requirements.

  • PHI exposure in chat responses
  • PHI in API logs or error messages
  • Consent and disclosure compliance
  • India DPDP health data handling
  • Audit trail requirements
💊

Pharmacy & Medication Bot Testing

Prescription, dosage, and interaction guidance must be correct — zero tolerance.

  • Over-the-counter vs. prescription accuracy
  • Common drug interaction warnings
  • Pregnancy / pediatric dosage restrictions
  • Generic vs. brand name equivalence
  • Controlled substance guidance compliance
📅

Appointment & Care Navigation

Wrong specialist routing wastes patient time and delays care.

  • Correct specialist type for symptom
  • Appointment booking accuracy (calendar sync)
  • Urgency triage: routine vs. urgent vs. ER
  • Insurance/network coverage accuracy
  • Wait time accuracy
📋

Post-Discharge & Chronic Care

AI agents supporting post-discharge follow-up and chronic disease management.

  • Medication adherence reminder accuracy
  • Post-surgery care instruction accuracy
  • Chronic disease (diabetes/hypertension) monitoring
  • When to call doctor vs. go to ER
  • Lab result interpretation accuracy
Pricing
Healthcare AI Evaluation Packages
Safety Audit
₹3L – ₹10L
Clinical safety + compliance audit
  • 100-conversation test suite
  • Clinical accuracy testing (MD-reviewed)
  • Safety escalation testing
  • HIPAA/DPDP compliance check
  • Patient safety risk report
  • Remediation recommendations
Get Started
Recommended
Full Evaluation
₹10L – ₹30L
Pre-launch + 3 months monitoring
  • Everything in Safety Audit
  • 500 clinical scenario benchmark
  • Continuous safety monitoring
  • Monthly regression testing
  • New test cases from flagged conversations
  • Quarterly clinical expert review
  • Regulatory audit-ready documentation
Start Free Audit
Enterprise QA
₹30L – ₹1Cr
Hospital system / health-tech platform QA
  • Multi-specialty evaluation coverage
  • 1000+ clinical scenario benchmark
  • Dedicated clinical QA team
  • FDA / CDSCO regulatory support
  • SLA: 4hr alert response
  • Board-level safety reporting
Contact Us
FAQ
Common Questions
Who reviews the clinical test cases?
Clinical accuracy evaluation is reviewed by MD domain experts — general practitioners and relevant specialists depending on your use case (e.g., cardiologist for cardiac symptom testing, psychiatrist for mental health safe-messaging review). We don't rely solely on LLM-based evaluation for clinical content, because models themselves can make clinical errors.
Do you test for mental health safe messaging compliance?
Yes. Mental health safe messaging — including suicidal ideation escalation, crisis resource provision, and avoidance of harmful content — is a dedicated test category in all healthcare AI evaluations. We test against WHO and national safe messaging guidelines.

Healthcare AI Errors Aren't
Just Bad UX. They're Patient Safety.

Free 100-conversation audit with MD-reviewed clinical accuracy assessment. 48-hour report.

Free Healthcare AI Audit

Free Healthcare AI Reliability Audit