Risk flagged early
< 24h
From first signal
Data latency
Near-real-time
Wearables + ePRO + endpoints
Query pressure
With automated QC rules
Study health, surfaced in real time
Real-Time Analytics
Identifies Risk Early.
A unified dashboard for patient, site, and study performance—built to detect compliance drift, data gaps, and operational risk before they become deviations.
One view across compliance, device health, data quality, and endpoint readiness.
One Dashboard. Every Signal.
Delve Analytics brings together wearable sensor streams, ePRO responses, device health, compliance, and digital biomarkers into a single, real-time platform built for modern research.
- Role-based dashboards for sites, CRAs, sponsors & data science teams
- Instant access to patient status, compliance, and data quality
- Device monitoring: battery, connectivity, sync health
- Wearable-derived biomarkers and trend modeling
- Immediate alerts when a patient falls behind
No more waiting weeks for vendor exports — evidence streams in continuously.
The Unified Delve Analytics Dashboard
Adaptively shows only the studies, sites, and patients tied to your role.
Patient view surfaces next steps, compliance status, and device sync health in real time.
What this role sees
- Simple status: what’s due, what’s completed, what’s missing
- Wear-time and sync feedback to prevent silent data gaps
- Guided reminders aligned to protocol windows
- Escalation to human support when needed
Why it matters
Sponsor view rolls up compliance, data completeness, and operational risk across sites and cohorts.
What this role sees
- Cohort-level completeness and deviation risk at a glance
- Site-to-site performance and operational bottlenecks
- Real-time monitoring without waiting on exports
- Audit-ready visibility into what changed and when
Why it matters
Investigator view supports patient-level review aligned to visit windows and protocol expectations.
What this role sees
- Patient drill-down with study-day aligned timelines
- Context for missingness vs physiologic change
- Visit window adherence and task completion history
- Operational flags that explain data gaps
Why it matters
The Four Pillars of Delve Analytics
Study Oversight
Enrollment, randomization, study flow, deviations, missing tasks, and real-time quality metrics.
Patient-Level Insights
Sensor trends, PRO history, compliance curves, symptom patterns, and physiological changes — updated continuously.
Device Monitoring
Battery health, connectivity, missed syncs, wear-time estimation, device replacements, and troubleshooting flows.
Digital Endpoints
Wearable-derived biomarkers such as sleep, activity, HRV, gait, respiratory trends, and functional capacity indicators.
Compliance, Data Quality & Signal Health
Continuous research requires continuous insight. Delve monitors the full chain of evidence — from device to dashboard.
- Compliance curve tracking
- Wear-time estimation and accuracy
- Signal drop detection and automated QC
- Outlier removal and smoothing
- Flagged physiological anomalies
- Study-wide thermal maps
You see data the moment it changes — not weeks later.
Designed for Every Role in Research
Sponsors
Portfolio-level dashboards, risk detection, and early signals.
CRAs / MONs
Visit windows, missing tasks, and actionable site alerts.
Research Sites
Patient-level insights, onboarding status, and device troubleshooting.
Data Science Teams
Raw data access, algorithm outputs, and endpoint evaluations.
98%
Real-time data availability
45%
Increase in study adherence
60%
Faster issue resolution
5X
More complete sensor data
See Your Study in Real Time.
The dashboard designed for modern hybrid and decentralized research.
