Healthcare AI Data Services
Precision-labeled medical datasets for diagnostic AI, clinical NLP, and life sciences research — built with HIPAA-aligned workflows and domain-expert annotators.
Powering the Next Generation of Clinical AI
Healthcare AI demands the highest standards of accuracy, privacy, and domain expertise. Centric Labs provides end-to-end medical data annotation services — from radiology and pathology image labeling to clinical NLP and electronic health record structuring. Our annotators include trained clinicians, medical coders, and life sciences specialists who understand the nuances of healthcare data.
- HIPAA-aligned data handling with BAA agreements
- Board-certified radiologists and pathologists in review loops
- Support for DICOM, HL7 FHIR, and proprietary EHR formats
- De-identification and PHI redaction pipelines
- Multi-consensus quality assurance with 99.2%+ accuracy
Healthcare Annotation Specializations
Domain-specific labeling across the full spectrum of medical data types.
Medical Imaging
Pixel-level segmentation of tumors, lesions, fractures, and anatomical structures in CT, MRI, X-ray, and ultrasound imagery. Our radiologist-supervised teams deliver sub-millimeter accuracy for diagnostic AI models.
Pathology & Histology
Whole-slide image annotation for cell classification, tissue segmentation, and biomarker identification. We support gigapixel-scale slides with multi-class labeling taxonomies used by leading cancer research institutions.
Clinical NLP
Named entity recognition, relation extraction, and negation detection across clinical notes, discharge summaries, and lab reports. Our medical coders annotate using ICD-10, SNOMED CT, and RxNorm ontologies.
Pharmacovigilance
Adverse event extraction from case reports, social media, and patient forums. We label drug-event pairs, severity grades, and causal relationships for post-market surveillance and signal detection models.
Genomics & Biotech
Variant classification, gene-disease association labeling, and literature curation for precision medicine platforms. Our annotators work with VCF files, protein structures, and pathway databases.
EHR Structuring
Transform unstructured electronic health records into machine-readable formats. We extract medication lists, problem lists, social determinants of health, and procedure histories across Epic, Cerner, and legacy systems.
Built for Healthcare Compliance
Every healthcare engagement is structured around regulatory requirements. We maintain strict chain-of-custody documentation, role-based access controls, and encrypted data transfer protocols. Our teams operate under signed BAAs with auditable access logs.
- SOC 2 Type II aligned security controls
- Air-gapped annotation environments available
- Automated PHI detection and redaction before annotation
- Full audit trails and data lineage tracking
Healthcare AI Data FAQ
Yes. We execute BAAs with every healthcare client and maintain HIPAA-aligned workflows. We can also de-identify data before annotation begins using automated and manual PHI redaction pipelines.
Our network includes board-certified radiologists, pathologists, medical coders (CPC/CCS), registered nurses, and clinical research coordinators. We match annotator expertise to your specific use case.
We deliver in COCO, Pascal VOC, NIfTI, DICOM-SEG, BRAT, and custom JSON/XML schemas. We also integrate directly with medical imaging platforms like 3D Slicer, ITK-SNAP, and OHIF Viewer.
Ready to Accelerate Your Healthcare AI?
Start with a free pilot project — no commitment, no risk. See how our medical annotation teams deliver the accuracy your models demand.