Medical annotation and clinical NLP data built by licensed healthcare professionals. HIPAA-ready operations, specialist recruitment, and the compliance posture your IRB will actually sign off on.
Healthcare AI is different. Your data is regulated, sensitive, and irreplaceable. Your annotators need credentials, not just training. Your compliance posture needs to survive an audit — not just a sales pitch.
We built our healthcare practice around credentialed clinicians — verified MDs, RNs, radiologists, and specialists — operating inside HIPAA-compliant clean rooms with role-based access, audit trails, and BAA-ready contracts. This is the practice your IRB will actually approve.
Structured extraction, de-identification, and annotation of clinical notes, radiology reports, and pathology documents. By licensed clinicians, reviewed by senior specialists.
Named-entity recognition for conditions, medications, procedures, anatomy.
Disease-treatment, drug-interaction, symptom-condition linking.
Discharge summaries, progress notes, problem-list generation training data.
HIPAA Safe Harbor PHI removal with clinician-validated accuracy.
Radiology, pathology, and dermatology image annotation by credentialed specialists. Pixel-level segmentation, lesion identification, and multi-reader adjudication for ground truth.
CT, MRI, X-ray annotation by board-certified radiologists.
Whole-slide image annotation by pathologists with subspecialty training.
Lesion boundary, malignancy assessment, Fitzpatrick-skin-type labeling.
Consensus ground truth from 3+ specialists for high-stakes datasets.
Training and evaluation data for healthcare conversational AI — patient intake, medication adherence, triage, and care navigation. Authored by clinicians, reviewed for safety.
Symptom-to-disposition training conversations reviewed by ED physicians.
Pharmacist-authored dialogues on adherence, interactions, side effects.
Clinician-written explanations calibrated for patient health-literacy levels.
Harm probes — self-diagnosis, medication misuse, emergency miss-routing.
Audit trails, consent management, and documentation that satisfies HIPAA, GDPR, FDA, and IRB requirements. Built with compliance teams, not around them.
HIPAA Business Associate Agreements on every engagement.
Patient-level consent tracking with revocation support.
Annotation protocols and audit trails documented for 510(k) submissions.
Expert-determination certification available for Safe Harbor alternatives.
Training data for ambient scribing, note generation, and EHR assistance tools.
Segmentation and classification for radiology, pathology, derm AI systems.
Literature annotation, biomedical NER, and clinical trial data curation.
Safe, compliant conversational AI for triage, education, adherence.
EMR extraction, eligibility screening, and protocol-adherence annotation.
Coding annotation, prior-auth, and claims-adjudication training data.
Yes — every clinician annotator has verified licensure (MD, DO, RN, pharmacist, etc.) with specialty certification where required. Verification is re-run annually.
Yes. We sign a HIPAA Business Associate Agreement on every healthcare engagement. Template available on request.
PHI is handled in dedicated clean-room environments with role-based access, region-locked storage, and audit logging. De-identification can happen before annotation if preferred.
Yes. We've contributed annotation protocols, validation data, and audit trails to 510(k) and De Novo submissions. Documentation is designed to survive FDA review.
2–3 weeks to recruit and onboard a specialist panel (e.g., 20 board-certified radiologists). Subspecialties (interventional neuroradiology, dermatopathology) can take 4–6 weeks.
Tell us what you're training, aligning, or evaluating. We'll map a delivery plan, staffing model, and timeline within one working week.