About Videra Health
Videra Health brings clarity and structure to complex behavioral data in clinical trials and real-world care settings. The platform integrates seamlessly into study workflows, combining AI-powered video, voice, and language analysis with structured eCOA/ePRO data capture. By delivering real-time behavioral insights and automated scoring, research teams access high-quality data without disrupting the study or care process, supporting everything from traditional clinical outcome assessments to novel, AI-driven digital endpoints.
The challenge
A global pharmaceutical company's Phase IV trial in a CNS therapeutic area faced a critical inflection point. Site investigators across 40+ locations refused to continue enrolling patients due to frustration with the legacy eCOA/ePRO vendor. The outdated, difficult-to-use technology was driving:
- High patient dropout rates and poor site engagement, threatening the trial's viability
- Limited access to critical behavioral data needed for both primary endpoints and exploratory AI-driven analyses
- Growing risk to the sponsor's timeline for regulatory submissions and real-world evidence generation
The opportunity
Beyond rescuing the trial, the sponsor recognized an opportunity to modernize their approach to behavioral data collection and analysis:
- Replace the failing system with an intuitive, AI-powered eCOA/ePRO platform that would re-engage sites and patients
- Capture multimodal behavioral data (video, voice, language, and movement) alongside structured clinical assessments
- Use the enriched dataset to develop and validate novel AI-driven digital endpoints that could inform future trial design and real-world monitoring
The approach
Videra executed a full mid-study change management and deployment in two connected phases:
Phase 1 Rapid platform replacement & trial recovery
- Deployed Videra's customized eCOA/ePRO platform across all 40+ trial sites, replacing the legacy vendor with minimal disruption to ongoing data collection
- Provided simple training and onboarding for site staff and patients, with flexible device support including BYOD
- Integrated automated alerts and reminders to improve patient compliance and reduce dropout
- Established seamless integration with the sponsor's existing clinical data capture systems
Phase 2 Multimodal data capture & AI endpoint development
- Introduced optional video and voice capture alongside structured assessments, enabling collection of rich behavioral signals
- Collected and analyzed patient video, voice, and assessment data to support ongoing development of Videra's proprietary AI models
- Leveraged multimodal behavioral data to advance Videra's AI-driven digital endpoints, applicable across clinical research and real-world settings
- Integrated real-time data flow so the sponsor had continuous visibility into behavioral insights and endpoint quality
The success
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Trial restored: Successfully replaced the legacy vendor mid-trial, restoring site investigator confidence and resuming patient enrollment across all 40+ sites
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Engagement transformed: Intuitive interface, automated reminders, and multimodal AI analysis improved patient engagement, compliance, and reduced dropout rates
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Richer behavioral insights: Real-time data flow and AI video/voice analytics enabled deeper behavioral insights than traditional eCOA, supporting novel endpoint development
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AI-driven endpoints advanced: Enriched behavioral dataset contributed to the ongoing development and validation of Videra's proprietary AI-driven digital endpoints, applicable across multiple therapeutic and real-world contexts
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Accelerated regulatory readiness: The sponsor regained access to high-quality, timely data, accelerating trial progress and generating behavioral datasets that contribute to Videra's broader AI endpoint development program
Implementation Guide alignment: This case demonstrates how a modern, AI-powered digital health platform can address multiple dimensions of the real-world data collection challenge: restoring clinical workflows and site adoption, ensuring data quality through intuitive technology, reducing patient and site burden, and generating novel digital endpoints that bridge clinical trials and real-world care.
Use cases across the digital mental health landscape
Videra's platform has been deployed across multiple use cases that touch on themes throughout the DiME Implementation Guides, spanning screening, patient engagement, and real-world evidence generation.
Building Proprietary AI-Driven Digital Endpoints
- Built and validated proprietary AI-driven digital endpoints spanning multiple CNS conditions
- Enabled digital identification and monitoring of at-risk patients across diverse populations
- Measurable improvements in screening rates and diagnosis timelines
- Catalyzed new clinical and commercial initiatives leveraging Videra's AI platform
AI-Driven Predictive Screening for Disease Detection
- Over 9,000+ real-world patients screened using AI-powered tools
- Follow-up pathways established for provider visits, diagnoses, and prescriptions
- Real-time behavioral data enabled high-ROI patient activation funnels
- Engagement and compliance rates greatly exceeded industry averages
AI-Powered Patient Advocacy, Education & Brand Loyalty
- Patients reported deeper understanding of condition and treatment
- Engagement rates far exceeded industry benchmarks
- Real-time feedback enabled rapid content and strategy refinement
- Established a new standard for patient advocacy in the therapeutic area