How does digitalhumanOS™ voice AI technology work?

digitalhumanOS™ uses advanced natural language processing and speech recognition to analyze conversations in real-time. The technology processes over 11,200 conversations per hour, extracting clinical insights through multi-modal AI that combines voice AI, speech biomarkers, machine learning ensemble models, and digital twin frameworks. The system integrates with Samsung Galaxy devices for ambient speech screening and real-time biometric monitoring. Explore our Platform and Digital Humans .

What are speech biomarkers and how accurate are they?

Speech biomarkers are measurable vocal characteristics that correlate with health conditions. Our proprietary voice analysis technology examines speech patterns, voice tremor, articulation precision, pause patterns, and linguistic complexity. The system achieves 94.2% screening accuracy for cognitive health conditions, validated across 11M+ patient records through clinical studies with Pace Cardiology and other healthcare partners. Learn about Cognitive Screening accuracy .

How does Samsung Galaxy Watch integration work for healthcare?

Samsung Galaxy Watch provides ambient speech screening and real-time biometric monitoring through the Samsung Health platform. The watch continuously monitors vital signs while our AI analyzes speech patterns during natural conversations. Samsung DeX enables providers to access comprehensive patient data through a unified interface. Samsung Knox enterprise security ensures all data transmission meets HIPAA compliance requirements. See Samsung Galaxy integration details .

What is the machine learning technology behind the platform?

digitalhumanOS™ employs hierarchical Random Forest algorithms with bias mitigation and continuous learning capabilities. The ensemble model processes data in sub-second timeframes, analyzing over 1,000 vocal features per second. The system includes automatic model optimization and drift detection to maintain clinical accuracy over time.

What is Digital Twin Framework technology?

Our Digital Twin Framework creates personalized AI models for each patient, continuously learning from their unique health patterns. The system adapts to individual speech characteristics, medication effects, and health changes over time. This enables more accurate early detection and reduces false positives compared to one-size-fits-all approaches.

How does the technology integrate with existing EHR systems?

digitalhumanOS™ offers universal EHR connectivity through HL7 FHIR, REST APIs, and legacy system adapters. The platform supports Epic, Cerner, PointClickCare, Allscripts, Meditech, and 50+ other EHR vendors. PointClickCare integration provides comprehensive coverage for long-term care and skilled nursing facilities. Integration typically takes 2-4 weeks with adaptive workflow engines that map to existing clinical processes without requiring workflow redesign. See Platform Orchestration for integration details.

Is the voice AI technology HIPAA compliant?

Yes, digitalhumanOS™ is fully HIPAA compliant with end-to-end encryption, Samsung Knox enterprise security, and secure data transmission protocols. The platform is FDA registered and undergoes regular security audits. All voice data is encrypted in transit and at rest, with access controls and audit logging meeting healthcare compliance standards.

What languages does the voice AI support?

digitalhumanOS™ supports 78 languages with natural conversation capabilities and 48 emotional expressions. The system automatically detects the patient's language and adapts the conversation style accordingly. This multilingual capability ensures equitable healthcare access across diverse patient populations.

How does the Scienza voice assistant work?

The Gia AI voice assistant uses advanced conversational AI powered by ElevenLabs to provide natural language interactions for clinical documentation, patient screening, and healthcare guidance. It processes voice commands in real-time while maintaining HIPAA compliance and security standards.

What can I ask the Gia digital human?

You can ask Gia about clinical documentation, cognitive screening procedures, patient access automation, virtual nursing workflows, revenue cycle optimization, and healthcare AI implementation. Gia can also guide you through product demos and answer questions about Scienza's FDA-registered AI agents.

Is the voice AI HIPAA compliant?

Yes, Scienza's voice AI assistant is fully HIPAA compliant. All voice interactions are encrypted, patient data is protected with enterprise-grade security, and the system adheres to strict healthcare privacy regulations. The AI is designed specifically for healthcare environments with compliance at its core.

Does the voice assistant work on mobile devices?

Yes, the Gia voice assistant is fully optimized for mobile devices including smartphones and tablets. It features responsive design, touch-friendly controls, and works seamlessly across iOS Safari, Android Chrome, and other modern mobile browsers.

What languages does the voice assistant support?

The voice assistant supports multiple languages including English, Spanish, and other major healthcare languages. Multi-language support ensures accessibility for diverse patient populations and healthcare providers.

How do speech biomarkers work for cognitive assessment?

Speech biomarkers analyze micro-acoustic features including pause patterns, voice tremor, articulation precision, and linguistic complexity. Our AI processes over 1,000 vocal features per second to detect subtle cognitive changes with 94% clinical accuracy, validated across 11M+ patient records. Learn more about our Cognitive Screening solution .

The digitalhumanOS^™ Technology Behind Every Conversation

Transforming routine healthcare calls into powerful health insights through digitalhumanOS™ voice AI and clinically validated speech biomarkers.

Technical Demo

Multi-Modal AI Technology Stack

Six core technologies powering the future of healthcare

Voice AI Technology

Sophisticated conversational AI driving natural patient interactions with advanced natural language processing.

11,200+ conversations/hour

Natural language processing
Speech recognition
Conversational AI
Voice synthesis

Speech Biomarker Analysis

Proprietary voice analysis technology that analyzes speech patterns and vocal characteristics to support healthcare providers.

94.2% screening accuracy*

Voice pattern analysis
Speech biomarkers
Healthcare validation
Real-time processing

Samsung Galaxy Integration

Ambient speech screening and real-time biometric monitoring through Samsung Galaxy Watch, Samsung Health platform, and Samsung DeX capabilities.

Real-time early warning system

Samsung Galaxy Watch connectivity
Samsung Health integration
Samsung DeX provider tools
Ambient speech screening

Machine Learning Ensemble

Hierarchical Random Forest algorithms with bias mitigation and continuous learning capabilities.

Sub-second processing

Random Forest algorithms
Bias mitigation
Continuous learning
Model optimization

Digital Twin Framework

Advanced patient modeling with predictive analytics and comprehensive care coordination systems.

11M live patient records

Patient modeling
Predictive analytics
Care coordination
Outcome prediction

Real-time Streaming

High-performance data processing infrastructure capable of handling massive concurrent assessments.

99.9% uptime

Real-time processing
Scalable infrastructure
High availability
Data streaming

*Accuracy rates may vary depending on data sources and specific use cases. This system is intended to assist healthcare professionals and is not intended for medical diagnosis, treatment, cure, or prevention of disease.

30% of cardiac surgery patients experience cognitive changes|<60s screening time

"By implementing Scienza Health's digitalhumanOS™, we're easing staff burnout, reducing patient wait times, and recovering lost revenue — while ensuring patients receive timely, comprehensive care."

Dr. Yaariv Khaykin

Chief Medical Officer, Pace Cardiology

Voice AI Technology Deep Dive

Technical insights into our speech biomarker and ambient computing technology

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The digitalhumanOS^™ Technology Behind Every Conversation

Multi-Modal AI Technology Stack

Voice AI Technology

Speech Biomarker Analysis

Samsung Galaxy Integration

Machine Learning Ensemble

Digital Twin Framework

Real-time Streaming

Voice AI Technology Deep Dive

Technology in Action

Platform Overview

Cognitive Screening

Virtual Nursing

Samsung Integration

We value your privacy

The digitalhumanOS™ Technology Behind Every Conversation

Multi-Modal AI Technology Stack

Voice AI Technology

Speech Biomarker Analysis

Samsung Galaxy Integration

Machine Learning Ensemble

Digital Twin Framework

Real-time Streaming

Voice AI Technology Deep Dive

How do speech biomarkers work for cognitive assessment?

What makes Samsung Galaxy Watch integration unique for healthcare?

How does ambient computing work in healthcare settings?

What level of accuracy can healthcare providers expect?

Technology in Action

Platform Overview

Cognitive Screening

Virtual Nursing

Samsung Integration

We value your privacy

Voice Assistant Instructions

The digitalhumanOS^™ Technology Behind Every Conversation