Data Governance, Security & Compliance
Building Trust Through Responsible Healthcare AI Data Management
At Shevs Connect Institute (SCI) and SCILabel, trust is the foundation of everything we do. Healthcare data is among the most sensitive information in the world, and we are committed to ensuring that every dataset we collect, prepare, annotate, evaluate, and store is handled with the highest standards of privacy, security, ethics, and regulatory compliance.
Our data governance framework is designed to align with internationally recognized privacy and security standards, including the Health Insurance Portability and Accountability Act (HIPAA), the General Data Protection Regulation (GDPR), and emerging healthcare AI regulations such as the EU AI Act.
Our End-to-End Data Lifecycle
- Direct licensing with institutions
- Revenue-sharing partnerships
- Client-provided datasets (DPAs/NDAs)
- Bespoke consent‑based projects
- Verification of ownership, consent & compliance
- Removal of direct identifiers (names, ID numbers, etc.)
- HIPAA Safe Harbor / Expert Determination
- Data minimisation & pseudonymisation
- Metadata review and cleansing
- Relevant qualifications + SCI training
- Confidentiality & privacy agreements
- Specialty‑based assignment (imaging, NLP, genomics, RLHF)
- Least privilege access control
- Tier 1: Peer review
- Tier 2: QA specialist validation
- Tier 3: Project management audits
- IAA scoring, gold benchmarks, error tracking
- Encryption (in transit & at rest)
- Role‑based access + MFA
- Activity logging & audit trails
- Secure cloud, monitoring, backups
- Minimum Necessary Access
- Workforce training & confidentiality
- Access monitoring & audit trails
- Breach response & BAAs support
- Lawfulness, fairness, transparency
- Purpose limitation & data minimisation
- Accuracy, storage limitation
- Integrity, confidentiality, accountability
- Human oversight & bias mitigation
- Fair labour practices
- Transparent data sourcing
- Clinical expert involvement & monitoring
- Project audit logs & QA reports
- Annotation guidelines & provenance
- Compliance summaries & performance metrics
- Validation reports for regulatory readiness
Our Commitment
Healthcare AI is only as trustworthy as the data used to build it.
At Shevs Connect Institute and SCILabel, we combine ethical data sourcing, expert clinical oversight, rigorous quality assurance, and strong security controls to help organizations develop AI systems that are accurate, responsible, and ready for real-world healthcare environments.
Whether you require healthcare data collection, annotation, model evaluation, or compliance-focused data operations, our team is committed to protecting your data while helping you build the next generation of healthcare AI solutions.