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Data minimization, encryption, access controls, logging, and BAAs as needed. We isolate PHI and apply least-privilege policies.
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AI-native platforms for healthcare and life sciences — HIPAA-ready, GxP-compliant, and built on Azure Health Data Services with clinical workflow agents and FHIR integrations.
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Enterprise AI capabilities designed for clinical quality, regulatory compliance, and measurable patient outcomes.
Reduce charting time with ambient capture, auto-structured notes, and clinician-in-the-loop verification.
Automate intake, evidence gathering, and determinations with explainable AI and auditable workflows.
Suggest codes from notes and attachments; surface clinical gaps and quality indicators for review.
Detect anomalies, triage investigations, and reduce leakage with graph features and LLM-assisted review.
Personalize outreach, close care gaps, and coordinate tasks across teams with secure, role-based agents.
Automate safety case intake/triage, literature/ICS review, and study ops with compliant audit trails.
Define objectives, KPIs, and guardrails; assess data sources, consents, and regulatory scope.
Prototype with clinicians/SMEs, plan human-in-the-loop reviews, and validate safety and quality metrics.
Phased rollout with EHR/FHIR integration, change enablement, and training for clinical and ops teams.
Monitor accuracy, bias, and drift; optimize cost/performance; extend use cases under governance.
Data minimization, encryption, access controls, logging, and BAAs as needed. We isolate PHI and apply least-privilege policies.
Yes HL7/FHIR, X12/EDI, and API-first adapters with contract testing and observability.
Human-in-the-loop reviews, evaluation suites, golden sets, and traceable decisions with audit trails.
For life-sciences workflows, we support electronic records/signatures, audit logs, and validation steps aligned to Part 11.
Regional storage/processing, tokenization, and zoning for PHI and research data per policy and contracts.
A production pilot e.g., ambient notes or prior auth integrated data layer, KPIs, and a plan to scale responsibly.
Co-design sessions, usability tests, and review workflows ensure safety, accuracy, and adoption.
Yes single-tenant options with enterprise controls, monitoring, and cost governance.
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