ocuvera

JSON twin: https://www.healthaidb.com/software/ocuvera.json

Company Name

Ocuvera

Product URL

https://ocuvera.com/our-solution/

Company URL

https://ocuvera.com

Categories

Summary

Ocuvera is an AI-powered in-room monitoring system that uses a 3D camera and computer-vision algorithms to predict and alert staff to unassisted bed/chair exits to reduce patient falls.

Description

Ocuvera provides a wall-mounted 3D camera sensor, touchscreen interface, mobile app, and monitoring station driven by proprietary computer-vision and AI models trained on hospital video data. The system issues predictive alerts to nursing staff, supports two-way audio/video, continuous streaming, event video vaulting, and reporting to help prevent falls, review adverse events, and measure response times.

Api Available

unknown

Certifications

Company Founding

2013

Company Offices

Compliance

Customers

Data Residency

Data Standards

Deployment Model

Features

Id

P1157

Integration Partners

Integrations

Languages Supported

Last Updated

2025-09-07

License

proprietary/commercial

Links

Market Segment

Optional Modules

Os Platforms

Pricing Details

Contact vendor for pricing, demos, and implementation details.

Pricing Model

enterprise_quote

Privacy Features

Ratings

Regions Available

Release Year

2013

Security Features

Specialties

Support Channels

System Requirements

Ocuvera sensor and dock, touchscreen on sensor, hospital-supplied or Ocuvera-provided smartphones for mobile app, monitoring station (web client); (no explicit OS/DB/hardware specs provided)

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Canonical JSON

{
  "company_name": "Ocuvera",
  "company_url": "https://ocuvera.com",
  "company_offices": [
    "United States"
  ],
  "company_founding": "2013",
  "product_url": "https://ocuvera.com/our-solution/",
  "categories": [
    "Virtual Nursing",
    "Ambient Sensing and Alerting",
    "Patient Monitoring",
    "Fall Prevention"
  ],
  "market_segment": [
    "enterprise",
    "hospital",
    "health system"
  ],
  "links": [
    "https://ocuvera.com/",
    "https://ocuvera.com/our-solution/",
    "https://ocuvera.com/outcomes/",
    "https://ocuvera.com/pressure-injury-prevention/",
    "https://ocuvera.com/resources/",
    "https://ocuvera.com/wp-content/uploads/2022/10/Ocuvera-in-the-Field.pdf",
    "https://elion.health/products/ocuvera",
    "https://pmc.ncbi.nlm.nih.gov/articles/PMC10530789/",
    "https://www.linkedin.com/company/ocuvera/"
  ],
  "summary": "Ocuvera is an AI-powered in-room monitoring system that uses a 3D camera and computer-vision algorithms to predict and alert staff to unassisted bed/chair exits to reduce patient falls.",
  "description": "Ocuvera provides a wall-mounted 3D camera sensor, touchscreen interface, mobile app, and monitoring station driven by proprietary computer-vision and AI models trained on hospital video data. The system issues predictive alerts to nursing staff, supports two-way audio/video, continuous streaming, event video vaulting, and reporting to help prevent falls, review adverse events, and measure response times.",
  "target_users": [
    "nurses",
    "clinicians",
    "nurse managers",
    "clinical operations/quality teams",
    "hospital administrators",
    "patient safety teams",
    "telemonitoring staff"
  ],
  "specialties": [
    "falls prevention",
    "acute care",
    "rehabilitation",
    "geriatrics",
    "neurology (inpatient)",
    "postoperative care"
  ],
  "regions_available": [
    "United States"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "enterprise_quote",
  "pricing_details": "Contact vendor for pricing, demos, and implementation details.",
  "license": "proprietary/commercial",
  "deployment_model": [
    "hybrid"
  ],
  "os_platforms": [
    "Web",
    "iOS",
    "Android"
  ],
  "features": [
    "AI-driven predictive patient movement detection",
    "Wall-mounted 3D camera sensor",
    "Dock system for sensor mounting and mobility",
    "Touchscreen interface on sensor for start/stop/pause",
    "Mobile app alerts and two-way audio",
    "Central monitoring station with always-on streams (up to 80 rooms)",
    "Virtual Sitter mode (continuous live-streaming, two-way audio)",
    "Real-time alerts and notifications",
    "Video Vault for storing/reviewing recorded events",
    "Detailed real-time reporting and response-time metrics",
    "Lightweight portable sensors and storage carousels"
  ],
  "optional_modules": [
    "Virtual Sitter mode",
    "Video Vault (recording/review storage)"
  ],
  "integrations": [],
  "data_standards": [],
  "api_available": "unknown",
  "system_requirements": "Ocuvera sensor and dock, touchscreen on sensor, hospital-supplied or Ocuvera-provided smartphones for mobile app, monitoring station (web client); (no explicit OS/DB/hardware specs provided)",
  "compliance": [],
  "certifications": [],
  "security_features": [],
  "privacy_features": [
    "Privacy-preserving three-dimensional camera (designed to preserve patient privacy)",
    "Configurable video color/streaming settings"
  ],
  "data_residency": "",
  "customers": [
    "Bryan Health (Bryan Medical Center)",
    "Great Plains Health",
    "Cabrini Health",
    "Hospitals (implemented in more than 30 hospitals - unnamed)"
  ],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [
    "email",
    "phone",
    "request a demo"
  ],
  "training_options": [
    "documentation",
    "live_online",
    "onsite"
  ],
  "release_year": "2013",
  "integration_partners": [
    "Microsoft (Azure Kinect/depth sensor)",
    "Bryan Health (implementation partner/case study)",
    "Great Plains Health (implementation partner/case study)",
    "University of Nebraska (research/collaboration)"
  ],
  "id": "P1157",
  "slug": "ocuvera",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-09-07",
  "links_json": {
    "self": "https://www.healthaidb.com/software/ocuvera.json"
  }
}