Deploy real-time AI that passively documents patient encounters, cutting administrative time by up to 70%.
Services
Ambient Clinical Documentation AI Development
We build real-time AI systems that passively listen to patient-clinician encounters, automatically generating structured clinical notes and orders to reduce administrative burden by up to 70%.
REDUCE BURNOUT
Ambient Clinical Documentation AI Development
Transform clinician-patient interactions directly into structured notes, orders, and billing codes without manual data entry.
- 70% Reduction in Documentation Time: Our ambient AI systems listen and observe, generating SOAP notes and ICD-10 codes in real-time.
- Seamless EHR Integration: Deploy within Epic, Cerner, or custom EHRs via secure APIs, avoiding workflow disruption.
- PHI-Compliant by Design: Built with HIPAA-compliant data pipelines and processed in confidential computing enclaves to protect patient privacy.
We engineer multimodal AI pipelines that fuse speech, text, and contextual data. This moves beyond basic transcription to clinical intent understanding, ensuring accuracy and reducing the risk of AI hallucination in critical documentation.
Deployment Outcomes:
- Go-live in 8-12 weeks with a pilot unit.
- 99.5%+ accuracy on key medical concepts.
- Full integration with your existing clinical decision support and predictive analytics infrastructure.
PROVEN RESULTS
Measurable Outcomes for Health Systems
Our ambient clinical documentation AI is engineered to deliver concrete, quantifiable improvements in clinical efficiency, financial performance, and clinician well-being.
01
Reduce Documentation Burden by 70%
Our ambient AI automatically generates structured SOAP notes, orders, and billing codes from natural clinician-patient conversation, directly cutting charting time and administrative overhead.
70%
Avg. Reduction in Charting Time
> 90%
Note Accuracy
02
Accelerate Revenue Cycle
AI-generated documentation ensures coding completeness and accuracy, leading to faster claim submission, reduced denials, and improved capture of billable services.
15-25%
Faster Claim Submission
10-20%
Reduction in Denials
03
Enhance Clinician Satisfaction & Reduce Burnout
By automating administrative tasks, clinicians regain hours per week for direct patient care, significantly improving job satisfaction and reducing factors leading to burnout.
3-5 hrs/wk
Time Reclaimed per Clinician
40%+
Reduction in After-Hours Charting
04
Improve Clinical Data Quality & Interoperability
AI-extracted data populates the EHR with structured, discrete fields, enhancing data liquidity for population health, analytics, and seamless integration with systems like Epic or Cerner.
99.9%
Structured Data Capture
HL7 FHIR R4
Compliance Standard
05
Deploy with Enterprise-Grade Security & Compliance
Built on HIPAA-compliant infrastructure with data encryption in transit and at rest. Supports private cloud or on-premise deployment for full data sovereignty. Learn about our approach to Healthcare AI Compliance and Governance Consulting.
HIPAA
Compliant
SOC 2 Type II
Certified
06
Achieve Rapid Time-to-Value
Our modular platform integrates with major EHRs via standard APIs. We deliver a pilot-ready ambient AI environment in weeks, not months, enabling swift validation and scaling. Explore our methodology for Clinical Workflow Optimization AI Consulting.
< 4 weeks
To Pilot
99.5%
Uptime SLA
From Pilot to Full-Scale Integration
Phased Implementation Timeline
A structured, risk-mitigated approach to deploying ambient AI documentation, ensuring clinical validation and seamless EHR integration at each stage.
| Phase | Timeline | Key Deliverables | Clinical Impact |
|---|---|---|---|
Discovery & Data Assessment | 1-2 weeks | Clinical workflow analysis, PHI inventory, compliance gap report | Zero clinical disruption |
Pilot Environment & Model Tuning | 2-3 weeks | De-identified test environment, specialty-tuned speech & NLP models | Initial 40-50% note draft accuracy |
Clinical Validation & Workflow Integration | 3-4 weeks | Integrated pilot with 2-5 clinicians, real-time note generation, clinician feedback loop | Up to 70% reduction in documentation time for pilot group |
Full-Scale Deployment & EHR Integration | 2-3 weeks | Enterprise-wide rollout, deep EHR (Epic/Cerner) integration, admin dashboard | Organization-wide clinician burden reduction |
Ongoing Optimization & Support | Continuous | Performance monitoring, quarterly model updates, dedicated clinical support | Sustained >99% uptime, continuous accuracy improvement |
CLINICIAN-CENTRIC ENGINEERING
Our Development Methodology
We build ambient AI that integrates seamlessly into clinical workflows, reducing documentation burden by up to 70% without disrupting patient care. Our proven, phased approach ensures secure, compliant, and highly accurate systems.
01
HIPAA-Compliant Data Pipeline Engineering
We architect secure, end-to-end data ingestion from EHRs, audio streams, and video feeds. All data is encrypted in transit and at rest, with automated PHI de-identification pipelines built to HIPAA standards, ensuring patient privacy from day one.
02
Multimodal Clinical NLP & Computer Vision
Our systems fuse real-time speech-to-text, ambient sensor data, and on-screen activity to generate structured clinical notes. We deploy specialized models trained on medical corpora for superior accuracy in symptom extraction, medication mention, and clinical intent recognition.
03
EHR-Agnostic Integration & Workflow Design
We engineer seamless integration with Epic, Cerner, and other major EHRs via FHIR APIs and SMART on FHIR. Our focus is clinician-centric UX, ensuring AI-generated documentation flows naturally into existing workflows for immediate adoption and zero retraining.
04
Continuous Validation & Clinical Feedback Loops
We implement rigorous, ongoing validation against real-world clinical data. Our systems incorporate direct clinician feedback for continuous model refinement, ensuring accuracy improves over time and aligns with evolving medical standards and terminology.
05
Scalable, Low-Latency Edge & Cloud Architecture
We deploy hybrid architectures balancing on-premise edge processing for real-time audio/video with secure cloud backends for complex NLP. This ensures sub-second latency for live encounter support and 99.9% uptime for critical clinical systems.
06
End-to-End Compliance & Governance
Our development lifecycle embeds healthcare regulations (HIPAA, FDA SaMD considerations) and AI governance (NIST AI RMF). We deliver comprehensive audit trails, model cards, and performance dashboards to support internal review and potential regulatory submissions.
Ambient Clinical Documentation AI
Frequently Asked Questions
Get specific answers about our process, security, and outcomes for developing real-time AI that reduces clinician documentation burden.
Contact
Talk to the team about your AI system.
Share what you are building, where you need help, and what needs to ship next. We will reply with the right next step.
01
NDA available
We can start under NDA when the work requires it.
02
Direct team access
You speak directly with the team doing the technical work.
03
Clear next step
We reply with a practical recommendation on scope, implementation, or rollout.
30m
working session
Direct
team access