Discovery Call
We learn your AI scribe platform, clinical specialties, EHR integrations, and testing priorities in a focused 30-minute session.
AI medical scribes deserve clinical grade accuracy
Testiva delivers specialist QA for AI Medical Scribe, transcription accuracy, SOAP note validation, medication safety, and HIPAA-safe workflows.
480+
Clinical Encounters Evaluated
3x
Faster Release Cycles
40%
Lower Rework Costs
Why it matters
What happens when AI Medical Scribe
What happens when AI Medical Scribe
software aren’t tested properly
Hallucinated medication dosages reach physicians
Incorrect drug dosages in completed notes are invisible to standard QA only clinical expertise catches them.
Critical clinical details omitted or misattributed
Symptoms and exam findings get distorted or misattributed, corrupting records that affect care.
Transcription accuracy degrades in real clinical settings
Clinical noise and overlapping speech expose accuracy gaps that controlled studio tests never reveal.
No regulatory validation evidence at procurement
FDA and NHS reviewers ask for clinical AI validation most scribe teams don’t have prepared.
How Testiva protects your AI Medical Scribe platform
- Clinical QA expertise, not generic software testing — Our engineers evaluate notes against medical accuracy standards and clinical documentation guidelines, not just output format.
- Real clinical encounter simulation — We test across specialties, clinical noise, and real ambient audio not studio recordings.
- End-to-end documentation pipeline validation — From audio capture through SOAP note generation, EHR write-back, and physician review every stage tested and traceable.
- Hallucination measurement against clinical ground truth — Transcript fidelity and hallucination rates measured against validated clinical baselines.
- HIPAA compliance built in, not bolted on — PHI isolation across audio pipelines, LLM input handling, EHR integrations, and session logging validated from day one.
What we test
Core components of an AI Medical Scribe we cover
Every layer that affects clinical note accuracy, medication safety, and regulatory compliance is validated across specialties and real-world ambient documentation conditions.
Ambient Audio & Clinical Transcription
Clinical noise and vocabulary tested in real conditions.
Speaker Attribution & Diarisation
Speaker separation tested across clinical recordings.
SOAP Note Accuracy & Completeness
All SOAP sections validated against clinical ground truth.
Medication Safety & Dosage Verification
Dosages, routes, and allergy flags verified by standards.
EHR Integration & Note Write-Back
Write-back accuracy and FHIR exchange tested across EHRs.
Clinical Context Retention
Accurate attribution across complex clinical conversations.
AI Hallucination Detection & Safety
AI errors detected and rated by clinical severity level.
HIPAA Compliance & PHI Security
Audio, LLM input, and EHR flows audited for HIPAA.
Performance & Scalability Testing
Transcription verified under concurrent multi-site load.
HOW IT WORKS
Up and running in 4 simple steps
From first contact to your first test report a process designed to be fast, transparent and low-friction.
QA Audit & Plan
We audit your clinical test coverage and build a tailored QA strategy with ground truth datasets and accuracy rubrics.
Test Execution
Clinical accuracy evaluation, hallucination detection, medication safety, EHR integration, and PHI audits every defect rated by clinical severity.
Report & Iterate
Clinical accuracy report with hallucination rates, regulatory traceability, and prioritised recommendations for the next release cycle.
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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AI Medical Scribe Testing Packages
| Feature | Scribe Check | Clinical Guard | Scribe Shield | Apex Scribe Suite |
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| CORE SCRIBE TESTING | ||||
| Ambient audio capture testing |  |
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| Clinical transcription accuracy testing | |
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| SOAP note accuracy & completeness validation | |
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| Single clinician encounter testing |  |
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| Multi-participant encounter testing | |
5K encounters | 10K encounters | Unlimited |
| Accent & dialect recognition testing | |
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Setup only | Full build |
| Long encounter stability testing | |
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| CLINICAL ACCURACY & MEDICATION SAFETY | ||||
| Clinical ground truth dataset build | |
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| AI hallucination detection & measurement | |
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| Medication safety & dosage verification | |
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| Speaker attribution accuracy testing | |
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| Clinical context retention testing | |
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| Adversarial & safety boundary testing | |
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| Clinical AI bias & health equity testing | |
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| EHR INTEGRATION & PLATFORM TESTING | ||||
| EHR write-back accuracy testing | |
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| FHIR API & data exchange testing | |
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| Physician review & approval workflow testing | |
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| Mobile & web platform compatibility | |
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| API & webhook integration testing | |
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| COMPLIANCE, SECURITY & MONITORING | ||||
| HIPAA compliance & PHI pipeline audit | |
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| FDA AI/ML SaMD validation evidence | |
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| MHRA AIaMD & NHS AI governance documentation | |
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| Prompt regression & model update testing | |
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| Post-deployment drift & accuracy monitoring | |
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| SUPPORT & REPORTING | ||||
| Dedicated clinical QA lead | |
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| Clinical accuracy scorecard & weekly report | |
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| 24/7 critical patient safety defect SLA | |
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Common questions
We build synthetic clinical encounter datasets that replicate real physician-patient conversations across specialties including realistic symptom presentations, drug names, dosages, and clinical terminology. These datasets are validated against clinical documentation standards before use and never include real patient identifiers or protected health information.
There is no universal threshold acceptable hallucination rates depend on note section, clinical risk level, and whether physician review is mandatory before EHR write-back. We establish a clinical hallucination baseline for your platform, categorise hallucinations by severity (cosmetic, clinical, medication safety), and help you define acceptance criteria aligned to your regulatory posture and clinical workflow design.
Yes. We build specialty-specific synthetic encounter datasets and clinical accuracy rubrics covering primary care, internal medicine, cardiology, orthopaedics, psychiatry, and others. Specialties with high medical terminology density and complex documentation requirements (such as psychiatry and oncology) are tested with additional ground truth validation to account for note complexity.
We test the full write-back pipeline from SOAP note generation through structured data mapping, FHIR resource creation, and EHR field population in Epic, Cerner, and Athenahealth. We specifically validate that structured data (medication lists, diagnoses, procedure codes) is correctly mapped and not silently dropped or truncated during the write-back process a failure mode invisible in UI-level testing.
Prompt and model updates are among the most common causes of silent clinical accuracy regressions in AI Medical Scribe platforms. We establish a clinical accuracy baseline and run automated regression testing against that baseline after every prompt change, model provider update, or LLM version change detecting accuracy drops before they reach physician workflows or clinical audit.
Yes. Our ScribeShield and ApexScribe Suite tiers include PHI pipeline audit documentation covering ambient audio capture, transcription service data handling, LLM input and output logging, EHR integration data flows, and Business Associate Agreement alignment. This documentation is structured to support HIPAA Security Rule technical safeguard requirements and is produced as a standard deliverable of the testing engagement not a separate audit commissioned after the fact.
Get in touch
Start with a free AI Predictive Analytics QA audit.
Tell us about your predictive analytics platform and we’ll map out exactly what clinical testing you need no obligation, no sales pitch.
Email us
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Fast response
We reply to all enquiries within 1 business day