Each agent is a specialist in its domain, working together as a unified healthcare intelligence platform. All live. All production-ready. All designed for real-world clinical workflows.
Conversational biometric identity with real-time EHR synchronization
Patient Verification uses advanced conversational AI to confirm patient identity through natural dialogue, eliminating the need for manual ID checks while maintaining HIPAA compliance. The agent cross-references biometric markers, demographic data, and EHR records in real time to ensure 99.2% match accuracy.
By integrating with 180+ EHR systems via FHIR and HL7 protocols, the agent automatically syncs patient data across platforms, preventing duplicate records and reducing administrative burden. It handles edge cases like name changes, address updates, and insurance modifications without human intervention.
Healthcare providers benefit from faster check-in times, reduced identity fraud, and seamless patient onboarding. Front desk staff can focus on patient care instead of paperwork, while compliance teams gain full audit trails for every verification event.
Patient initiates check-in via phone, web portal, or in-person kiosk
AI conducts conversational verification using voice biometrics and demographic questions
System cross-references EHR data and flags discrepancies for human review
24/7 natural language scheduling with automated insurance verification
Appointment Management operates as a 24/7 virtual scheduling assistant, handling appointment bookings, rescheduling, and cancellations through natural language conversations. Patients can interact via phone, SMS, web chat, or patient portal without waiting for business hours.
The agent automatically checks insurance eligibility, provider availability, and appointment type requirements before confirming bookings. It optimizes multi-provider calendars to reduce gaps and maximize utilization, while respecting provider preferences and patient needs.
Healthcare organizations see 87% self-service rates, reducing call center volume and improving patient satisfaction. The agent sends automated reminders, handles no-show follow-ups, and integrates with billing systems for seamless revenue cycle management.
Patient requests appointment via preferred channel (phone, SMS, web)
AI checks provider availability, insurance eligibility, and appointment requirements
System confirms booking, sends reminders, and handles rescheduling automatically
Real-time SOAP note generation across 22+ medical specialties
Ambient Documentation captures physician-patient conversations in real time and generates comprehensive SOAP notes without interrupting clinical workflow. Using advanced speech recognition and medical NLP, the agent understands clinical context, medical terminology, and specialty-specific documentation requirements across 22+ specialties.
The agent differentiates between clinical content and casual conversation, extracting only relevant medical information. It structures notes according to specialty templates, includes ICD-10 codes, and flags missing elements for physician review. All outputs include source timestamps for verification.
Physicians save an average of 2 hours per day on documentation, allowing more time for patient care. The agent works for both in-person and telemedicine visits, supporting hybrid care models. Notes are available for review within seconds of encounter completion.
Physician activates ambient recording at start of patient encounter
AI captures conversation, extracts clinical content, and structures SOAP note
Physician reviews, edits, and signs note with full source traceability
ICD-10, CPT, and HCC v28 code assignment with source traceability
Medical Coding analyzes clinical documentation to assign accurate ICD-10, CPT, and HCC v28 codes with full source traceability. The agent reads physician notes, lab results, and diagnostic reports to identify billable diagnoses and procedures, reducing coding errors by 67%.
Every code assignment includes direct links to supporting documentation, making audits straightforward and reducing denial risk. The agent flags potential upcoding, undercoding, and missing documentation, providing coders with confidence scores for each suggestion.
Revenue cycle teams benefit from faster claim submission, fewer denials, and improved reimbursement accuracy. The agent handles complex scenarios like hierarchical condition categories (HCC) for risk adjustment and ensures compliance with CMS guidelines.
AI analyzes completed clinical documentation and extracts diagnoses/procedures
System assigns ICD-10, CPT, and HCC codes with confidence scores and source links
Coder reviews suggestions, approves high-confidence codes, and edits low-confidence ones
Evidence-based GRADE alerts delivered at point of care
Clinical Decision Support provides real-time, evidence-based alerts using GRADE methodology to support clinical decision-making at the point of care. The agent monitors patient data, lab results, medications, and clinical guidelines to identify drug interactions, contraindications, and best practice deviations.
Alerts are prioritized by severity and clinical relevance, reducing alert fatigue while ensuring critical warnings are never missed. Each alert includes supporting evidence from peer-reviewed literature, clinical guidelines, and institutional protocols, with direct links to source materials.
Physicians benefit from improved diagnostic accuracy, reduced medical errors, and better adherence to evidence-based protocols. The agent learns from physician feedback to refine alert thresholds and reduce false positives over time.
AI continuously monitors patient data, medications, labs, and clinical context
System generates GRADE-rated alerts for drug interactions, guideline deviations, and risk factors
Physician reviews alerts with supporting evidence and takes appropriate action
988 Crisis Protocol integration with PHQ-9/GAD-7 screening
Mental Health Triage conducts evidence-based mental health screenings using validated instruments like PHQ-9 for depression and GAD-7 for anxiety. The agent engages patients in empathetic, conversational assessments that feel natural while maintaining clinical rigor and scoring accuracy.
When crisis indicators are detected, the agent immediately escalates to human counselors following 988 Crisis Protocol guidelines. It provides warm handoffs with full context, ensuring patients in distress receive immediate professional support without delays or dropped connections.
Healthcare providers gain early detection of mental health conditions, improved screening compliance, and better continuity of care. The agent supports routine wellness checks, post-discharge follow-ups, and chronic disease management programs with mental health components.
Patient completes conversational mental health screening (PHQ-9, GAD-7, etc.)
AI scores responses, identifies crisis indicators, and assesses severity
System escalates high-risk cases to crisis counselors or schedules follow-up care
Longitudinal patient history synthesis in under 30 seconds
Patient Insights analyzes years of patient data across multiple EHR systems to generate comprehensive longitudinal summaries in under 30 seconds. The agent identifies trends, gaps in care, chronic disease progression, and risk factors that might be missed in fragmented records.
By synthesizing data from hospital visits, primary care appointments, specialist consultations, lab results, and imaging reports, the agent creates a unified patient narrative. It highlights key events, medication changes, and clinical decision points with timeline visualization.
Physicians gain complete patient context before encounters, improving diagnostic accuracy and treatment planning. The agent is especially valuable for complex patients with multiple comorbidities, frequent hospitalizations, or care across multiple providers.
Physician requests patient summary before or during clinical encounter
AI aggregates data from all available EHR sources and analyzes longitudinal trends
System generates comprehensive summary with timeline, trends, and care gaps
Cohort analytics with predictive care gap detection and risk stratification
Population Health analyzes patient cohorts to identify care gaps, predict high-risk patients, and track quality measures like HEDIS and MIPS. The agent uses machine learning to stratify populations by risk level, enabling proactive outreach and preventive interventions.
The agent monitors chronic disease management programs, identifies patients overdue for screenings, and predicts which patients are at risk for hospitalization or emergency department visits. It generates actionable worklists for care coordinators and tracks intervention outcomes.
Healthcare organizations improve quality scores, reduce avoidable hospitalizations, and optimize care management resources. The agent supports value-based care models by providing real-time insights into population health metrics and financial performance.
AI analyzes patient population data to identify cohorts and risk stratification
System detects care gaps, predicts high-risk patients, and generates intervention lists
Care teams execute outreach campaigns and track outcomes in real time
Connect with your existing systems via FHIR and HL7 protocols
All agents share a unified data layer and communicate via event-driven architecture. For example, when Ambient Documentation creates a note, Medical Coding automatically analyzes it, Clinical Decision Support checks for guideline adherence, and Patient Insights updates the longitudinal record. This orchestration happens in real time without manual handoffs.
You can activate any combination of agents based on your needs. Our Starter plan includes 4 core agents, Professional includes 6, and Enterprise includes all 8. Agents work independently but provide more value when used together.
Most organizations go live within 2-4 weeks. EHR integration via FHIR/HL7 typically takes 3-5 days, agent configuration takes 1-2 weeks, and staff training takes 2-3 days. We provide dedicated implementation support throughout.
We support 180+ EHR systems including Epic, Cerner, Allscripts, Meditech, athenahealth, eClinicalWorks, NextGen, and many others. Integration uses standard FHIR and HL7 protocols, so most systems connect without custom development.
Yes. All PHI is encrypted with AES-256-GCM at rest and in transit. We maintain HIPAA, GDPR, PIPEDA, NHS DSP, and PDPA compliance. Every data access is logged for audit trails, and we use zero-trust architecture with role-based access control.
Accuracy varies by agent and task: Patient Verification (99.2%), Ambient Documentation (94.7%), Medical Coding (92.3%), Clinical Decision Support (97.1%), Mental Health Triage (98.6%), Patient Insights (95.4%), and Population Health (91.8%). All outputs include confidence scores and are designed for human review.
Yes. Patient Verification and Appointment Management support 12+ languages. Ambient Documentation currently supports English with Spanish and Mandarin in beta. We're expanding language support based on customer demand.
Every agent output is designed for human review and includes source traceability. Physicians and staff can edit, override, or reject any AI suggestion. All changes are logged, and the system learns from corrections to improve future accuracy.
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