Healthcare
Clinical-grade AI for imaging, operations, and care pathways.
Healthcare deployments demand rigor that consumer AI rarely meets: clinical validation, explainability, PHI protection, and integration with EHR and imaging archives. Zansoc works with health systems on perception for medical imaging workflows, operational forecasting for capacity, and secure agent assistants that stay inside institutional policy.
Imaging Assist
Triage and measurement support for radiology workflows.
Operations Intelligence
Bed, OR, and staffing forecasts grounded in real demand.
Secure Agents
Policy-bound assistants for documentation and routing.
Compliance Fabric
HIPAA-aligned logging, access control, and audit.
Clinical context first
We do not ship black-box scores into clinical environments. Models are framed as assistive signals with uncertainty estimates, clear failure modes, and documentation suitable for clinical governance committees. Training and evaluation use institution-approved cohorts with demographic stratification so performance gaps surface before go-live.
Operations as a care quality lever
Delays in imaging, discharge, and staffing cascade into outcomes. Our forecasting systems combine EHR events, historical seasonality, and real-time census to give operations leaders actionable windows — not vanity metrics. Agents can draft handoff summaries and bed-management recommendations while keeping clinicians as final decision-makers.
Security that matches the stakes
Every healthcare deployment runs inside a zero-trust pattern: encrypted data planes, least-privilege service accounts, and full prompt/response logging for agent systems. Air-gapped and VPC-isolated options are available when cloud egress is unacceptable.