Solutions · Healthcare
AI for healthcare — clinician in control, governed for compliance.
We design, deploy, and govern production AI for hospitals, payers, and pharma — clinical documentation, decision support, operations, claims, and patient communication — built for HIPAA, FDA SaMD, and SOC 2, with human oversight by default.
20 production AI products · 80,000+ professionals trained across 20+ countries · 72 NPS
What it means
AI that augments care without compromising it
Healthcare AI is held to a higher bar than generic enterprise AI. We design around three constraints from day one.
Clinician in control
AI suggests; people decide. Every clinical use is decision support with a human in the loop and accountability intact.
PHI-safe by design
HIPAA and HITECH from day one — least-privilege access, your security controls, and audit trails on protected health information.
Grounded & monitored
Outputs are grounded in your data with provenance, tested against failure modes, and monitored in production — because silent errors are costly.
Capabilities
Where AI pays off across healthcare
Clinical Documentation
Ambient and assistive documentation that turns clinician-patient conversations into structured notes — cutting charting time while keeping the clinician in control of the record.
Diagnostic Decision Support
Surface relevant evidence, flag contraindications, and highlight findings to support — never replace — clinical judgment, with provenance for every suggestion.
Hospital Operations
Forecast demand, optimize scheduling and bed flow, and predict bottlenecks so operations teams act ahead of the surge instead of reacting to it.
Claims & Revenue Cycle
Improve coding accuracy, catch documentation gaps before submission, and predict denials — reducing rework across the revenue cycle.
Patient Communication
Personalize reminders, pre-visit instructions, and follow-ups across the right channel and timing — with safeguards on what AI is allowed to say.
Pharma R&D & Operations
Accelerate literature review, document intelligence, and regulatory submissions for manufacturers and life-sciences teams, with traceability built in.
Built for the compliance reality
Governance is the product in healthcare
We deploy against the frameworks your legal, compliance, and clinical-governance teams already answer to — so AI clears review instead of stalling in it.
Segments
Across the care and life-sciences spectrum
How we engage
Build · Train · Govern
Healthcare AI cuts across all three of our practices. One team builds it, trains your people to use it safely, and keeps it compliant.
Build
Production AI deployed into clinical and operational workflows, integrated with your EHR and systems, and measured on real outcomes.
See our productsTrain
We bring your clinical, operations, and IT teams up to speed so the systems are owned in-house — with the literacy to use them safely.
Training programsGovern
PHI safeguards, human oversight, and audit trails built in — aligned to HIPAA, FDA SaMD, NIST AI RMF, and SOC 2.
Governance advisoryFAQ
Common questions
Does healthcare AI replace clinical judgment?
No. Every clinical application is decision support, not decision-making — AI surfaces evidence, drafts documentation, and flags risks while the clinician stays in control and accountable. We design for human oversight by default.
How do you handle HIPAA and PHI?
We design around HIPAA and HITECH from day one — least-privilege access to protected health information, your existing security controls, and audit trails. PHI never leaves the boundaries your compliance team defines.
Is your AI a regulated medical device?
It depends on the use case. We assess whether a deployment falls under FDA Software as a Medical Device (SaMD) rules and design accordingly — keeping clinical-decision-support tools within the intended-use and transparency boundaries.
Will it integrate with our EHR and systems?
Yes. We integrate with the EHR, scheduling, billing, and data systems you already run rather than asking you to replace them, and we respect interoperability and information-blocking rules.
How do you prevent AI errors and hallucination in clinical settings?
We ground outputs in your real data with provenance, keep a human in the loop on consequential decisions, test against known failure modes, and monitor performance in production — because in healthcare the cost of a silent error is high.
Where should a hospital or payer start?
Usually with documentation, claims, or operations use cases where the data exists and value is measurable — proving the model and the governance before expanding to higher-stakes clinical decision support.
Ready to deploy AI your compliance team will approve?
Tell us your setting, your systems, and the workflow under strain. We'll come back with a proposal grounded in what's deployable — and defensible.
Request a Proposal →