Controlled Workflows for Sensitive Healthcare Data
SCILabel designs healthcare data workflows around controlled access, appropriate data minimization, traceability and project-specific handling requirements.
Security begins with how a project is designed
The controls appropriate to a project depend on the dataset, processing relationship, client requirements, hosting model and applicable obligations.
Access Control
Limit project access to authorized roles and project participants according to operational requirements.
Data Minimization
Use only the data and metadata necessary for the defined project purpose where appropriate.
De-identification
Projects involving healthcare data can incorporate de-identification or pseudonymization requirements where applicable.
Auditability
Operational systems can record important workflow and delivery events for traceability.
Controlled Delivery
Approved datasets can be packaged and delivered through controlled client-specific workflows.
Supplier Review
Data-partner onboarding can include provenance, licensing, consent and governance review before commercial use.
Controls are matched to the engagement
SCILabel does not treat every dataset as having identical security or regulatory requirements. Project controls should be established according to the data, jurisdiction, contractual relationship and intended use.
Client Requirements
Security and handling requirements can be incorporated into the project specification.
Role Separation
Annotation, review, QA, administration and client delivery can be separated by role.
Data Provenance
Dataset sourcing workflows can document origin, permissions and relevant supporting information.
Build your healthcare AI data workflow with SCILabel
Talk to our team about your healthcare data, annotation or AI evaluation requirements.