Health Studio: AI-Powered Decentralized Clinical Trials Platform
AI-Powered · Google Cloud–Native

The AI-Powered Platform for Decentralized and Hybrid Clinical Trials

Health Studio helps research hospitals, sponsors, and public sector teams run modern clinical trials by connecting wearable and device data, EHR signals, and participant-reported outcomes into a unified, FHIR R4–mapped pipeline. Automate study operations, reduce site burden, and accelerate timelines with secure, compliant infrastructure on Google Cloud.

Built for:Academic Medical Centers
100+
Wearable & device integrations for trial data capture
0
Required to launch core study workflows
24/7
Remote monitoring and real-time study signals
Decentralized Clinical Trials (DCT)Remote Data CaptureFHIR R4 InteroperabilityAI Workflow Automation

Why Modernize Your Clinical Research?

The Clinical Trials Problem

Clinical research teams are expected to run faster, more participant-friendly trials while managing fragmented tooling, inconsistent device data, manual coordination, and interoperability gaps across EHR systems, wearables, and study operations.

Common bottlenecks

Disconnected Data and Manual Study Operations

Most trial teams stitch together device vendors, eConsent, EDC, spreadsheets, and custom integrations creating delays, duplicate work, and data quality issues that slow recruitment, monitoring, and reporting.

One Pager

The Health Studio Approach

Health Studio Clinical Trials unifies wearable and device data integration, remote participant monitoring, and trial workflow automation. It orchestrates trial signals through a secure, standards-aligned pipeline, so teams can launch, run, and scale studies with less friction.

What you get

A Unified Trial Data Pipeline with AI-Assisted Execution

Ingest wearables, devices, EHR signals, and participant-reported outcomes. Power analytics and operational workflows with automated tasking, alerts, and escalation for coordinators and clinical teams.

Device ConnectRemote Patient Monitoring

Core Platform Capabilities

Everything you need to run decentralized clinical trials (DCT) and hybrid studies without rebuilding a custom stack. Health Studio supports data capture, interoperability, trial operations, and scalable analytics on Google Cloud.
Data capture

Wearable and Device Data Integration

Connect participant wearables and clinical devices through Device Connect to capture time-series biometrics and study signals for endpoints, adherence, and safety monitoring.

Interoperability

FHIR R4 Interoperability

Normalize and structure trial data for downstream reporting and analytics. Align signals to FHIR R4 patterns where applicable to support integration-ready research workflows.

Operations

Automated Clinical Study Workflows

Automate reminders, coordinator tasking, alert escalation, and operational checklists to reduce site burden and improve protocol adherence.

Participant experience

Remote Monitoring for Decentralized Trials

Support decentralized and hybrid trial models with remote participant monitoring, proactive outreach triggers, and continuous study visibility across sites and teams.

Analytics

Cloud-Scale Analytics and Reporting

Power trial dashboards and population-level analysis with cloud-scale data foundations and study-ready outputs for research stakeholders.

AI-assisted execution

Signal-to-Action Automation

Convert incoming trial signals into actions: detect thresholds, generate tasks, route to the right team, and maintain operational visibility. This supports faster response times and improved data completeness.

Decentralized clinical trialsHybrid trial operationsRemote data captureWearable endpointsStudy workflow automation

How Health Studio Clinical Trials Works

Launch a clinical study with a repeatable pattern: connect data sources, normalize
and govern trial signals, then automate operational workflows for your teams.
Step 1

Ingesting Multi-Source Data

Integrate wearables and clinical devices through Device Connect, capture participant-reported outcomes (PRO), and align available EHR signals for a complete trial data footprint.

Step 2

Normalizing and Governing Signals

Structure trial signals and map key data elements for interoperability. Apply role-based access patterns and audit-friendly controls to support compliance and enterprise requirements.

Step 3

Automating Operational Actions

Turn data into action with automated alerts, task routing, and operational checklists. Keep coordinators, investigators, and care teams aligned with consistent workflows across sites.

Architecture pattern

From Participant Signals to Trial Decisions

Health Studio orchestrates trial signals across ingest → normalization → operational workflows so research teams can monitor endpoints, identify issues early, and maintain study momentum. This model supports both site-based execution and decentralized clinical trial (DCT) operations.

Wearables + devicesPRO + eCOAFHIR R4 mappingWorkflow automation

Integrations for Clinical Research

Clinical trials depend on multi-source data. Health Studio enables integration patterns that connect participant devices and clinical systems to support trial endpoints, safety monitoring, and operational reporting.

Devices

Wearables, sensors, and remote monitoring devices

Capture longitudinal biometrics and time-series signals that support real-world endpoints and adherence measures. Standardize device feeds for consistent study analytics and monitoring.

WearablesBiometricsTime-series signalsRemote monitoring
Clinical + Research systems

EHR-aligned signals, research workflows, and reporting

Align relevant clinical signals and research operations patterns for downstream reporting and enterprise integration. Support standardized outputs and structured data pipelines for trial stakeholders.

FHIR R4Study operationsAnalytics outputsGovernance-ready

Security, Privacy, and Compliance Foundations

Clinical research is high-trust and high-stakes. Health Studio is built to support secure operations, privacy controls, and enterprise-grade governance patterns on Google Cloud.

Data protection

Secure handling of sensitive data

Support privacy-first trial operations with strong access controls, audit-friendly patterns, and secure data handling practices designed for regulated environments.

Governance

Role-based access and operational visibility

Maintain clarity across study teams with role-based access patterns and operational oversight that helps ensure the right people see the right data at the right time.

Enterprise-ready

Built for research hospitals and public sector teams

Designed to support deployments and workflows that meet the expectations of enterprise health systems, research networks, and government health organizations.

For deployment-specific security requirements (including PHI workflows and organizational controls), contact Health Studio for architecture and compliance alignment.

Clinical Trials FAQ

Health Studio Clinical Trials is a Google Cloud–native clinical trial platform that unifies wearable and device data integration, participant-reported outcomes, and standards-aligned structuring (including FHIR R4 mapping where applicable) to support decentralized and hybrid clinical trials with automated workflows.
Yes. Health Studio supports decentralized and hybrid clinical trials with remote participant monitoring, automated reminders and tasking, and operational workflows that reduce site burden while improving adherence and data completeness.
Yes. Health Studio Device Connect enables wearable and device integration for clinical research, supporting ingestion, normalization, and secure delivery of longitudinal biometric signals that can support trial endpoints, safety monitoring, and adherence metrics.
Health Studio structures trial data for interoperability and can map key elements to FHIR R4 patterns where applicable to support standardized downstream reporting and integration workflows used by research hospitals and enterprise health systems.
A Google Cloud-native clinical trial platform provides three primary advantages: unmatched data interoperability, enterprise-grade security, and AI-driven acceleration. * Interoperability: By leveraging native Google Cloud tools like the Healthcare Data Engine, the platform seamlessly maps disparate data—such as wearable biometrics, EHR signals, and participant-reported outcomes—into the global FHIR R4 standard. This eliminates data silos and ensures a unified pipeline for faster analysis. Security & Compliance: Built on a infrastructure designed for high-stakes healthcare, it inherits world-class security controls, including HIPAA/GDPR alignment, zero-trust architecture, and automated audit trails, which significantly reduce the compliance burden for research teams. AI-Driven Acceleration: Running on Google Cloud allows for the direct integration of Vertex AI and MedLM. This enables teams to automate clinical workflows, perform real-time signal monitoring, and accelerate recruitment and protocol adherence through predictive modeling, turning months of manual work into near-instant insights.
Next step

See Health Studio's
Clinical Trials in action

Request a demo to explore decentralized clinical trial workflows, wearable data integration, FHIR-aligned structuring, and operational automation for your research program.

Request a Demo
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