AI Solutions for Healthcare
Practical AI for healthcare organizations — built on the integration and data foundations we've spent years perfecting.
AI is changing healthcare faster than any technology in a generation. But most AI projects in healthcare get stuck — pilots that never reach production, models that don't connect to the EHR, generative AI rolled out without HIPAA controls.
We help healthcare organizations adopt AI the right way: starting with use cases that have real clinical or operational impact, building on HIPAA-aligned foundations, and integrating AI directly into the workflows where it's used.
Four ways we deploy AI
From generative copilots to autonomous agents — built into your existing healthcare stack.
Generative AI for healthcare
- AI-assisted clinical documentation
- Note summarization and pre-visit preparation
- Patient-facing chatbots and virtual assistants
- Prior-authorization and appeal letter drafting
- AI-powered search across clinical and policy documents
Clinical AI
- Risk prediction models — readmission, sepsis, no-show, deterioration
- Clinical decision support inside the EHR
- NLP on clinical notes for cohort identification, ICD/CPT extraction, and quality measures
AI agents
- Autonomous agents for prior auth, claims processing, and intake
- Document-understanding workflows
- AI-augmented chart review
AI-powered analytics
- Predictive models on top of your existing data warehouse
- Natural-language query for clinicians and operations leaders
- Population health and revenue-cycle forecasting
How we deploy AI safely
Healthcare AI without guardrails is a liability. Here is what's non-negotiable in every engagement we run.
HIPAA-aligned architectures with signed BAAs where required
Customer PHI is never used to train shared models
Human-in-the-loop review for clinical decisions
Audit trails on every AI interaction
Clinical validation and bias evaluation before deployment
Ongoing monitoring for model drift
Healthcare integration experience that AI projects actually need
Most "AI healthcare" vendors are either AI specialists with no healthcare integration experience, or healthcare IT firms with no AI capability. We do both — and our years of work on Mirth Connect, HL7, and FHIR are the reason our AI projects actually ship into clinical workflows instead of getting stuck on a CSV.
Discuss an AI projectReady to make AI work in your healthcare org?
Tell us about your project — we'll respond within one business day.