Healthcare Data Collection
Specialized clinical and healthcare AI data collection - consent-based, de-identified, and reviewed by people familiar with clinical context.
What We Provide
Consent-Based Collection
Data collection built around documented, informed consent from every participant.
De-Identification
Removal or masking of personally identifying information ahead of annotation and model use.
Clinical Speech & Text
Collection and annotation of clinical conversations, notes and other clinical data types.
Domain-Expert Review
Annotation reviewed by people familiar with clinical terminology and conventions.
Healthcare Data Collection Questions
How is participant consent handled?
Through documented, informed consent collected specifically for the project - not repurposed recordings or scraped data.
Is data de-identified?
Yes, de-identification is a standard step ahead of annotation and any model use.
Does this include model development, or only data collection?
Both - see Healthcare AI Models for training and evaluation support built on this data collection foundation.
Discuss A Healthcare Data Project
Share what you're building. Hybrid Lynx will help scope a practical path.
Contact Hybrid Lynx