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Scienza Health
Definition · Platform · Architecture

What is digitalhumanOS?

The clinical AI operating system that orchestrates voice AI, computer vision, ambient sensing, EHR integration, and clinical workflow automation in a single platform.

digitalhumanOS™ is the platform layer behind GIA®, the first commercially deployed AI co-clinician for cognitive and behavioral health. Built by Scienza Health from an FDA-registered medical device establishment, deployed on Samsung Health Grade Galaxy hardware secured by Samsung Knox, integrated natively with Epic, PointClickCare, Cerner, and MatrixCare.

The platform, defined.

digitalhumanOS™ is a clinical AI operating system — the orchestration layer that combines multimodal capture, AI inference, clinical decision logic, EHR integration, and compliance into a single deployable platform. It is the platform that runs the AI co-clinician model in production today.

Most clinical AI tools are single-feature: a voice analyzer, a vision model, a screening app, an EHR connector. digitalhumanOS™ is the operating layer that brings all of those into one platform — with hardware (Samsung Health Grade Galaxy), security (Samsung Knox), regulatory posture (FDA-registered establishment), and EHR integration (HL7 FHIR to Epic, PointClickCare, Cerner, MatrixCare) included. The AI co-clinician model emerges only when these layers are unified; digitalhumanOS™ is what unifies them.

Key facts

What digitalhumanOS™ does, in plain sentences.

  • digitalhumanOS™ is a clinical AI operating system built by Scienza Health that orchestrates voice AI, computer vision, ambient sensing, EHR integration, and clinical workflow automation in a single platform.
  • digitalhumanOS™ is the platform layer behind GIA®, the first commercially deployed AI co-clinician for cognitive and behavioral health.
  • digitalhumanOS™ runs from an FDA-registered medical device establishment and is HIPAA compliant.
  • digitalhumanOS™ is deployed on Samsung Health Grade Galaxy devices — phones, tablets, and Galaxy Watch wearables — secured by Samsung Knox.
  • digitalhumanOS™ integrates natively with Epic, PointClickCare, Cerner, and MatrixCare via HL7 FHIR, plus 35+ additional EHR systems.
  • digitalhumanOS™ supports screening for 46 cognitive, neurological, and behavioral conditions through GIA®, validated in 19 peer-reviewed studies and 12.3M+ patients.
Architecture

Seven layers, one operating system.

From edge hardware to EHR write-back, every layer is operated by Scienza Health under a single regulatory and security envelope.

1. Hardware layer

Samsung Health Grade Galaxy devices — phones, tablets, and Galaxy Watch wearables — secured by Samsung Knox. Clinical-grade audio, video, and ambient/biometric sensors deployed at the edge.

2. Capture layer

Voice and conversational audio, computer-vision frames, ambient environmental signals (temperature, humidity, air quality), and biometric signals from Samsung Health and Galaxy Watch. Continuous, asynchronous, multimodal.

3. Multimodal AI inference

Speech biomarker analysis, computer-vision movement-disorder analysis, ambient pattern detection, and multimodal fusion. Models validated across 19 peer-reviewed studies and 12.3M+ patients.

4. Clinical decision layer

Risk stratification across 46 cognitive, neurological, and behavioral conditions. Recommendation generation against evidence-based clinical pathways. Daily Proactive Decision Orders assembly.

5. Integration layer

HL7 FHIR connectors to Epic, PointClickCare, Cerner, MatrixCare, and 35+ additional EHR systems. Native PointClickCare Marketplace listing. Bidirectional — orders and results flow both ways.

6. Workflow layer

EHR write-back, automated follow-up scheduling, conversation orchestration for autonomous patient encounters, and CPT-ready documentation generation.

7. Compliance and security layer

FDA-registered medical device establishment. HIPAA compliant. Samsung Knox device security. Tamper-proof audit trails for every clinical signal, recommendation, and write-back.

Category boundaries

How digitalhumanOS™ differs from adjacent categories.

CategoryScopeMultimodal?EHR integrationRegulatory
digitalhumanOS™End-to-end clinical AI operating system: capture → inference → decision → EHR → workflow → compliance.Voice AI, computer vision, ambient sensing, biometrics — fused.Native: Epic, PointClickCare, Cerner, MatrixCare; HL7 FHIR for 35+ more.FDA-registered establishment, HIPAA, Samsung Knox.
Single-feature voice analyzerOne signal modality, often a research SDK or feature.Voice only.Typically external — requires custom integration.Varies; rarely FDA-registered as a platform.
Custom-built clinical AI toolingInternal-build pipelines stitched together from open-source models and integration layers.Possible but requires building each modality and the fusion layer in-house.Custom-coded per system; ongoing maintenance burden.Requires the operator's own regulatory work (FDA registration, audit trails, etc.).
Hardware-agnostic clinical platformsSoftware platform deployed across heterogeneous hardware.Often constrained by the lowest-common-denominator sensor set across devices.Varies.Software-only regulatory posture; hardware security remains the operator's problem.
Validation and trust

The platform that runs in production today.

digitalhumanOS™ is not a research platform. It is a production clinical AI operating system, built and operated by Scienza Health from an FDA-registered medical device establishment, deployed on Samsung-secured hardware, and integrated natively with the four largest EHR systems in U.S. healthcare. The clinical AI it runs is validated in 19 peer-reviewed studies from The Lancet, NIH, Harvard Medical School, MIT, Mayo Clinic, and Beth Israel Deaconess Medical Center, across 12.3M+ patients and 27B+ clinical records.

Related concepts
Claim-level peer-reviewed evidence

The science the platform runs on.

PEER-REVIEWED RESEARCH

Research published in The Lancet Regional Health, conducted with Japan's National Cerebral and Cardiovascular Center, confirms that voice biomarkers accurately detect Mild Cognitive Impairment.

Study Confirms Voice Biomarkers Accurately Detect Mild Cognitive Impairment — The Lancet Regional Health (2025-06) · Japan's National Cerebral and Cardiovascular Center (NCVC)
PEER-REVIEWED RESEARCH

Research conducted with Beth Israel Deaconess Medical Center and UMass Chan Medical School achieves AUC 0.97 for Parkinson's detection from conversational speech — using natural, unconstrained speech without specialized equipment.

Advancing Parkinson's Detection with Vocal Biomarkers and Speech Foundation Models (2025-08) · Beth Israel Deaconess Medical Center, UMass Chan Medical School

digitalhumanOS powers GIA®, a clinical screening tool. It does not diagnose, treat, cure, or prevent any disease or condition. Every AI-generated result requires review by a licensed clinician before any clinical action. Scienza Health is an FDA-registered medical device establishment; this is distinct from FDA 510(k) clearance, which applies to specific medical devices. Full peer-reviewed bibliography (19 studies) at scienzahealth.com/research.

FDA-RegisteredEditorially reviewed·

This content is intended for informational purposes and does not constitute medical advice. Editorially reviewed by David Kaiser, CEO of Scienza Health, for accuracy in post-acute care operations.

Last updated: May 2, 2026Reviewed quarterly