Medical and clinical data
Medical and clinical data is health information, such as records, imaging and clinician annotations, used to train and test healthcare AI.
Last reviewed
What medical and clinical data contains
- De-identified records
- Imaging with radiologist labels
- Clinician-written notes and evaluations
- Outcome data
Who buys it and how it is priced
| Attribute | Value |
|---|---|
| Belongs to | regulated training data |
| Main buyers | Healthtech companies and labs building medical models |
| Pricing | Priced per dataset or access agreement, with cost driven by de-identification, consent, curation and clinician time. |
Quality criteria and risks
Quality criteria
- Documented consent
- Verified de-identification
- Clinical labeling standards
- Population coverage
Risks
- Privacy law breaches
- Re-identification
- Bias from narrow populations
Providers that list medical and clinical data
Auction and pricing mechanisms that fit
- Posted-price sale: Fits catalogue datasets that can be sold many times, such as cloud data exchange listings.
- Revenue-share licensing: Fits long-term content licenses where value is uncertain up front and both sides want to share upside.
Key terms
- PII
- PII, or personally identifiable information, is any data that can identify a specific person.
- data provenance
- Data provenance is the documented history of where data came from, who created it and what rights attach to it.
- data clean room
- A data clean room is a controlled environment in which parties analyze or train on combined data without exposing the raw records.
Frequently asked questions
- Can medical data be sold for AI training?
- Only under the consent, privacy and contract rules that apply to the data. Rules vary by country, so seek legal advice before listing any health data.