Clinical AI That Passes Review — the Compliant Platform It Runs On.

Clinical AI is the use of machine learning and LLMs in clinical and healthcare-operational workflows — documentation support, coding, triage, intake and referral automation, and medical NLP. Trembit builds and integrates the compliant production platform that clinical AI runs on: the data pipelines, EHR integration, human-in-the-loop controls, security architecture, and audit trail. We are deliberately not a diagnostic-model vendor — we don’t train clinical models or make clinical decisions. Our value is the engineering discipline that makes clinical AI safe, integrated, and deployable, so a promising model becomes a system that passes clinical-safety and data-protection review. For the broader picture, see our AI Development hub.

No. This is a firm line. We build the software platform and integration around clinical AI, and every consequential output is reviewed by a qualified clinician before it’s acted on — the AI proposes, a clinician disposes. Clinical judgment and clinical validation stay with your clinical team and your validated models. What we own is the production engineering: making the system compliant, integrated with your EHR, monitored, and auditable.

We architect compliance in from the start rather than retrofitting it. That means encryption in transit and at rest, data-residency-aware deployment (region-locked, on-prem, or private cloud), scoped role-based access, consent handling, and a complete audit trail — mapped to HIPAA and GDPR, and aligned to clinical-risk-management standards like DCB0129/DCB0160 where they apply. We support your DPIA and, for higher-risk use cases, design with the EU AI Act’s obligations in mind. Compliance shapes the architecture; it isn’t a checkbox at the end. See our security & compliance practice.

Yes — EHR integration is core to what we do, and it’s where most clinical AI projects stall. We work with HL7 and FHIR, single sign-on, and write-back into Epic, Cerner, and legacy records. We integrated with Epic and Cerner for Martti’s platform across 4,000+ hospitals. Connecting AI to existing clinical systems is a discipline in itself — see our system integration practice.

Yes. We build data-residency-aware architectures: region-locked hosting, on-prem, or private-cloud deployment, so PHI never leaves the jurisdiction you require. Models can be deployed within your controlled environment rather than calling an offshore API, and every data flow is documented for your DPO. Data governance is the first thing we scope, not the last.

With human-in-the-loop by design and layered safeguards. Any consequential output passes a clinician or a confidence threshold before it’s acted on. Outputs are grounded in approved clinical sources (retrieval/RAG) rather than a model’s general memory, inputs and outputs are validated, and every input, decision, action, and approval is logged in a reviewable audit trail. We also stand up monitoring and drift detection so performance is watched in production, not assumed.

The safe, high-value ones are around admin and documentation, not autonomous diagnosis: clinical and operational admin automation (intake, referrals, prior authorization) with a human approving; documentation and coding support that a clinician signs; medical NLP that structures unstructured notes; and intelligent triage/routing as decision support. These reduce administrative burden and burnout without putting the AI in charge of a clinical decision — which is exactly why they pass review. For the automation architecture, see AI agents & automation.

It depends on scope, integration surface, and compliance requirements. Focused pilots on a single workflow usually run as a fixed-price engagement scoped to a defined deliverable; broader programs run as a dedicated team or Time & Materials, since scope expands as governance and validation progress. The main cost drivers are EHR and systems integration complexity, data-residency and compliance requirements, data quality, and the level of clinical validation needed. We give you a firm estimate after a clinical-and-technical scoping call. For the broader AI picture, see AI Development.