Clinical Speech Data Collected by People Who Understand Medicine
Healthcare AI needs data from clinical environments with domain-specific vocabulary. YPAI recruits from 40,000+ vetted contributors across 150+ languages to collect clinical speech data that meets HIPAA, GDPR Article 9 biometric, and EU AI Act requirements.
Full regulatory coverage for clinical data. BAA available. De-identification built into every workflow.
Clinical terminology corpora across major EU healthcare markets. Same protocols, multiple languages.
Physicians, nurses, radiologists, and medical linguists. Not crowd workers reading medical scripts.
Healthcare Data That Reflects Clinical Reality
Four categories of clinical speech data, each collected by professionals with domain expertise. Every dataset includes provenance documentation and consent verification.
Clinical Dictation
Physician notes, discharge summaries, procedure documentation. Real medical vocabulary from practicing clinicians, not actors reading scripts. Collected in clinical settings with authentic ambient conditions.
Patient-Provider Dialogue
Consultation recordings for conversational AI. Multiple specialties - primary care, cardiology, oncology, psychiatry. Turn-by-turn annotated with speaker roles and medical entities.
Medical Terminology Corpora
Specialized vocabulary datasets for medical NLP. Radiology, cardiology, pathology. Each term recorded with correct pronunciation by native-speaking clinicians.
Multilingual Clinical Data
Same clinical conditions, multiple European languages. For AI systems deployed across EU healthcare markets. Consistent recording protocols ensure cross-language comparability for model training and evaluation.
From Protocol Design to Delivery
A six-phase process built for healthcare data. Every step includes compliance checkpoints and documentation that satisfies regulatory auditors.
Typical timeline: 8-16 weeks from protocol design to first delivery, depending on specialty requirements and language coverage.
Protocol Design
Collaborative protocol development with your clinical team. We define recording scenarios, speaker profiles, vocabulary targets, and quality thresholds before any data collection begins.
IRB & Ethics Review
We prepare and submit ethics board documentation. Experience with institutional review boards across EU and US jurisdictions. Consent forms, data handling agreements, and participant information sheets included.
Specialist Recruitment
Recruiting from our network of healthcare professionals - physicians, nurses, radiologists, medical linguists. Each contributor is verified for credentials, specialty, and language proficiency.
Supervised Collection
Data collection with real-time quality monitoring. Recording environment validation, acoustic checks, and vocabulary coverage tracking. Every session produces a quality report.
De-identification
PHI removal according to HIPAA Safe Harbor and Expert Determination methods. Automated pipeline with manual review for edge cases. Full audit trail documenting every redaction.
Secure Delivery
Encrypted transfer to your infrastructure. Complete documentation package: consent records, collection metadata, quality metrics, and compliance certificates. Integration support included.
The Risk of Non-Compliant Training Data in Healthcare
Healthcare AI operates under overlapping regulatory frameworks. Every dataset we deliver includes documentation for the jurisdictions you operate in.
HIPAA
- De-identification protocols (Safe Harbor + Expert Determination)
- Business Associate Agreement available
- PHI handling procedures with full audit trail
GDPR
- Voice treated as biometric data per Article 9
- Explicit individual consent with granular controls
- Right to erasure supported at individual record level
EU AI Act
- Healthcare AI classified as high-risk (Annex III)
- Full data governance documentation (Article 10)
- Bias testing and representativeness reporting
Institutional Review
- Experience with IRB/ethics board submissions
- Participant consent workflows for clinical settings
- Protocol amendments and ongoing compliance support
General Crowd Data vs Healthcare-Specialized Collection
The difference between training data that works in a demo and training data that works in a hospital.
| Dimension | General Crowd Data | YPAI Healthcare |
|---|---|---|
| Contributors | General public, no medical background | Physicians, nurses, medical linguists |
| Vocabulary | Scripted medical terms, often mispronounced | Natural clinical vocabulary, correct pronunciation |
| Environment | Home recordings, quiet rooms | Clinical settings with authentic ambient conditions |
| Compliance | Basic consent, no healthcare certifications | HIPAA, GDPR, EU AI Act, IRB-ready |
| De-identification | Not applicable (no real PHI) | Safe Harbor + Expert Determination, auditable |
| Quality Assurance | Automated checks only | Automated + clinical expert review |
| Provenance | Anonymous crowd workers | Verified credentials, documented lineage |
Discuss Your Clinical Data Needs
Tell us about your healthcare AI project. We will respond with a technical consultation covering data requirements, compliance scope, contributor profiles, and timeline.
Engineering intake
Inquiry details are treated as confidential. You will receive a response from technical staff.
We're reviewing your requirements.
What happens next
- Within 1 business day: Technical assessment of your use case
- If suitable: Coverage specification and scoping call
Inquiry details are treated as confidential.