Clinical-Grade Gen AI. HIPAA-Aware Delivery.
Source-grounded clinical assistants, prior-auth automation, claims summarisation, and population-health analytics – engineered for production in regulated environments.
30–45%
Documentation time reduction
95%+
Citation accuracy
HIPAA
Aware by default
100%
Audit traceability
The Problem We Solve in Healthcare
Healthcare AI dies in the gap between demo and clinic. Clinicians distrust hallucinations; compliance teams distrust unaudited models; CFOs cannot prove ROI. Our healthcare practice ships AI that clinicians actually use, with audit trails compliance signs off on, and metrics finance can defend.
Where AI Moves the Needle
Ambient documentation, structured note generation, and SOAP-format drafting - grounded in your clinical guidelines and the encounter audio / transcript.
- Speaker diarisation and PHI redaction in transit.
- Structured-data extraction (problems, meds, allergies) with clinician sign-off.
- EMR write-back via FHIR R4 where supported
Agentic prior-auth workflows that read clinical context, payer rules, and submission templates - drafting and tracking submissions through approval.
- Payer-rule library curated and version-controlled.
- Auto-drafted submissions with mandatory human review.
- Status tracking and follow-up automation.
AI summarisation of claims, denials, and EOBs - with recommended next actions for the revenue-cycle team.
- Denial-reason classification with appeal recommendation.
- Auto-drafted appeal letters grounded in clinical record.
- Throughput dashboards for revenue-cycle leaders.
HEDIS reporting, risk stratification, gap-in-care identification - with cohort drilldown and outreach workflows.
- ML-driven risk scoring with explainability.
- Care-gap workflows routed to care managers.
- Quality measure tracking across plans and providers.
AI Driven Digitalisation
EMR adapter platforms, claims engines, clinical-workflow apps - modernised with Claude-led refactor
Data Engineering + BI
Patient-360, population-health dashboards, HEDIS reporting, claims analytics, research data lakes
Gen AI Services
Clinical documentation assistants, prior-auth agents, claims summarisation, guideline RAG with mandatory citations
Compliance & Governance
- HIPAA-aware delivery - BAAs in place with model providers.
- PHI redaction in transit and at rest where policy requires.
- Zero-retention configuration on frontier model calls.
- Audit-ready logging of every model interaction.
- Self-hosted open-source options for the most sensitive use-cases.
Engagement Models
FAQ
Frequently Asked Questions
How do you handle PHI and HIPAA?
Every engagement runs under a BAA. Model APIs are configured with zero retention. PHI is redacted in transit where policy requires, and we offer self-hosted open-source generation for the most sensitive workloads.
Will clinicians actually use it?
Adoption design is half the work. We co-design with clinicians, run pilot cohorts, and measure NPS, time-saved, and quality. We do not scale a clinical AI that pilot users do not adopt.
What about hallucination risk in clinical contexts?
We minimise it by grounding strictly in retrieved sources, refusing to answer when retrieval recall is low, and showing citations on every answer. Hallucination rate is a measured metric, not a hope – and clinicians sign off on every output that lands in the chart.
Ready to Move the Metric?
Book a 60-minute healthcare briefing. We will share three closest-fit cases and put a 12-week clinical AI pilot proposal on the table.