Healthcare AI That Works With Your Clinicians
AI-assisted documentation, clinical decision support, and intelligent coding — designed for outpatient workflows.
HealthOS AI augments clinical decision-making and reduces documentation burden. Built with healthcare-specific models and guardrails, it assists without replacing clinical judgment.
Charting time saved
Shared in demo
Coding suggestion acceptance
Shared in demo
Provider documentation backlog
Shared in demo
Provider-in-the-loop AI accelerates documentation and coding while preserving clinical control and review.
Product preview shown for evaluation planning conversations. Final production screenshots are shared during implementation.
AI-Assisted Documentation
AI-assisted documentation captures encounter details and generates structured clinical notes. Providers review and approve — reducing manual note-taking.
Clinical Decision Support
Evidence-based alerts for drug interactions, allergy contraindications, and preventive care gaps surfaced at the point of care.
Intelligent Coding
AI suggests ICD-10 and CPT codes based on documentation. Reduces coding errors and supports accurate reimbursement.
Note Summarization
Automatically summarize lengthy patient histories, specialist reports, and external records into concise clinical briefs.
Chart Search
Natural language queries across the patient record. Ask questions like 'last A1C result' or 'when was the last tetanus shot?'
Quality Insights
AI-powered identification of care quality gaps, documentation deficiencies, and coding opportunities across your patient panel.
Key Capabilities
Provider-in-the-Loop
AI generates suggestions — clinicians make decisions. Every AI output requires human review and approval.
Healthcare-Specific Models
Models trained on medical literature and clinical workflows, not general-purpose AI repurposed for healthcare.
Explainable Outputs
Every suggestion includes references to the clinical evidence or documentation that informed it.
Privacy by Design
Patient data is processed with strict access controls. AI models do not learn from individual patient records.
How It Works
Provider Starts Encounter
AI-powered documentation assistance begins when the provider initiates the patient visit (with consent).
AI Generates Draft
AI-powered documentation assistance reduces manual note-taking by generating a structured clinical note organized by chief complaint, HPI, assessment, and plan.
Provider Reviews
The clinician reviews the draft, makes edits, and approves the final note. AI suggestions are highlighted for easy review.
Coding & Billing
AI suggests appropriate diagnosis and procedure codes based on the approved documentation.
Explore Related Capabilities
HealthOS modules work together to deliver a unified outpatient care platform.
Clinical Workflows
See how AI documentation integrates with structured charting and order management.
Learn more →Works best withSecure Communications
AI-generated notes complement secure messaging between care team members.
Learn more →Works best withUrgent Care
Reduce documentation time in high-volume walk-in environments.
Learn more →Works best withPrimary Care
Support longitudinal documentation across complex patient panels.
Learn more →Continue your evaluation
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