AI Medical Scribe
Ambient documentation, clinical note generation, SOAP formatting
The gaps in health tech QA and how Testiva closes them
Generic QA tools weren’t built for clinical software.
Problems
- Clinical AI is tested like traditional software
- Clinical AI tested without medical domain knowledge
- Healthcare AI outputs aren't clinically validated
- AI hallucinations go undetected before deployment
- Healthcare AI regulatory requirements are missed
- Clinical accuracy isn't monitored after deployment
How Testiva Solves It
- Healthcare-specific AI evaluation frameworks
- Health tech and AI domain experts validating the Healthcare AI
- Outputs validated against clinical ground truth
- Hallucination is detected, measured, and mitigated before release
- Testing aligned with healthcare AI regulatory standards
- Continuous evaluation of healthcare AI
Your product category. Our domain knowledge
Tested across every major health tech, AI, and Healthcare AI vertical. Our test plans start from domain knowledge, not assumptions.
Clinical Voice Agents
Patient intake, clinical triage, appointment scheduling AI
Healthcare RAG Applications
Clinical knowledge retrieval, guideline search, care pathway AI
Clinical Decision Support System (CDDS)
Diagnostic suggestions, alert systems, clinical recommendations
AI Predictive Analytics
Risk scoring, readmission prediction, population health AI
AI Medical Coding and Billing
Automated ICD, CPT, and billing code assignment from clinical notes
Healthcare AI testing types
Every testing type is designed for the dual challenge of Healthcare AI clinical accuracy requirements and AI evaluation methodology working together in the same engagement.
Clinical AI Output & Accuracy Validation
Clinical Hallucination Detection
Clinical AI Safety & Adversarial Testing
Clinical AI Regulatory & Compliance Testing
Clinical AI Bias & Health Equity Testing
Clinical AI Drift & Model Monitoring
Clinical Prompt & Model Regression Testing
Diagnostic & Clinical Reasoning AI Testing
Medical Knowledge Retrieval & Grounding Testing
Testing That Keeps Up with AI Regulations
We design testing strategies that help your AI systems meet evolving compliance requirements for safety, transparency, and reliability.
Tools We Use
Built for Regulated Environments
We design QA that aligns with compliance requirements in healthcare.
Purpose-Built Testing Tools for Clinical AI Products
Testiva developed dedicated in-house platforms for AI Medical Scribe and AI Medical Voice Agent testing
Your Medical Scribe. Your Voice Agent. One team, two tools
Watch how each tool evaluates clinical accuracy, safety boundaries, and compliances in real time.
Selected Work
We bring the industry’s best open-source and enterprise tools into your QA process.
HealthOrbit
HealthOrbit is an AI medical scribe that generates clinical notes from patient conversations in real time.
YOU(th) Health App
YOU(th) Health provides AI-driven health assessments using smartphones for quick check-ups.
Machine Medicine Technologies (MMT)
MMT uses AI-powered video analysis to track motor function for neurological conditions.
OMED
OMED Health provides digital health solutions for monitoring and managing gut health.
What People Say
Testiva is a great team to work with. I’ve hired them multiple times and recommended them to others, all impressed by their thorough work. Highly recommended for QA.
Testiva team is highly skilled and extremely thorough. I trust them for accurate and timely delivery. They are a reliable resource for any project.
Testiva team delivered outstanding quality with great professionalism. Communication was excellent and delivery met expectations. Highly recommended.
Excellent team worked well with minimal supervision and did a great job. Their work helped us improve the robustness of the platform.
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Common questions
We evaluate AI outputs against clinical standards, not just format catching patient safety risks that generic QA never surfaces.
AI Medical Scribes, Clinical Voice Agents, Healthcare RAG, CDSS, Predictive Analytics, and AI Medical Coding & Billing.
Yes we produce dual-jurisdiction validation documentation covering FDA AI/ML SaMD and MHRA AIaMD requirements simultaneously.
Yes. We establish accuracy baselines and run safety and regression testing without disrupting live clinical workflows.
We build synthetic clinical datasets validated against medical standards. Real patient data never enters our test environments.
A clinical accuracy report, safety defect register, regulatory traceability documentation, and a prioritised remediation roadmap.
Quality Isn’t Optional. Let’s Talk
From quick test coverage to full-scale QA teams, we plug in exactly where you need us.