FAQ

Below are answers to the questions we hear most often about HIPAA-compliant AI agent development in Cleveland.

1. How do you guarantee HIPAA compliance throughout the project?
   • We apply a Privacy-by-Design framework that embeds safeguards, encryption, RBAC, audit logging, and PHI minimization—at every phase.
   • Our compliance team conducts regular gap analyses against the HIPAA Security and Privacy Rules, while external auditors perform annual assessments.
   • Automated CI pipelines run static code analysis, vulnerability scans, and unit tests to ensure ongoing adherence as the codebase evolves.
2. Can your AI agents integrate with our existing EHR or data lake?
   • Yes. We maintain adapters for Epic, Cerner, Allscripts, and custom FHIR servers, and we can build bespoke connectors for proprietary systems.
   • Our middleware preserves data lineage, applies field-level encryption, and supports HL7 v2/v3 transformations as needed.
3. What is the typical timeline from kickoff to pilot go-live?
   • A standard engagement spans 12–16 weeks: 2 weeks for discovery, 4 weeks for prototyping, and the remainder for full build, validation, and deployment.
   • Accelerated tracks are available when robust, well-documented data pipelines already exist.
4. Do you support on-premise and edge deployments?
   • Absolutely. Our containerized architecture runs in hospital data centers, major clouds, or on medical devices with limited connectivity.
   • Edge deployments include model quantization and hardware acceleration to meet latency and energy constraints.
5. How do you handle model explainability and audit readiness?
   • Each prediction or recommendation is accompanied by token-level attribution, confidence scores, and human-readable rationale.
   • We store immutable logs and version every model artefact, enabling precise reconstruction during audits or incident response.
   • Dashboards surface performance drift and PHI access patterns for ongoing governance.