opmed

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

Company Name

Opmed

Product URL

https://www.opmed.ai/platform/or/schedule-builder

Company URL

https://www.opmed.ai

Categories

Summary

AI-powered healthcare operations platform that optimizes operating room scheduling, staff and equipment planning, and perioperative resource allocation.

Description

Opmed is an AI-driven optimization platform focused on perioperative and broader healthcare planning. It provides modules for OR scheduling (Schedule Builder, Block Architect), PACU planning, staff and equipment/resource optimization, procedure/NORA scheduling, forecasting of case lengths and utilization, and reporting/insights via an AI assistant (Opmed Sidekick). The solution integrates with major hospital systems and is marketed to health systems and government hospitals.

Api Available

unknown

Certifications

Company Founding

2022

Company Offices

Compliance

Customers

Data Residency

Transfers outside the EU; uses EU standard data transfer safeguards / SCCs; website targeted at US and Israel audiences

Data Standards

Deployment Model

Features

Id

P1201

Integration Partners

Integrations

Languages Supported

Last Updated

2025-09-07

License

commercial proprietary

Links

Market Segment

Optional Modules

Os Platforms

Pricing Details

Contact vendor for pricing; enterprise deployments and government procurement (Alliant/ECAT) available. Demo and ROI calculator on website.

Pricing Model

enterprise_quote

Privacy Features

Ratings

Regions Available

Release Year

Security Features

Specialties

Support Channels

System Requirements

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Canonical JSON

{
  "company_name": "Opmed",
  "company_url": "https://www.opmed.ai",
  "company_offices": [
    "United States",
    "Israel"
  ],
  "company_founding": "2022",
  "product_url": "https://www.opmed.ai/platform/or/schedule-builder",
  "categories": [
    "administrative",
    "operational",
    "perioperative scheduling",
    "capacity planning",
    "resource optimization",
    "analytics",
    "AI-driven optimization"
  ],
  "market_segment": [
    "enterprise",
    "health systems"
  ],
  "links": [
    "https://www.opmed.ai",
    "https://www.opmed.ai/about",
    "https://www.opmed.ai/platform/or/schedule-builder",
    "https://www.opmed.ai/platform/or/block-architect",
    "https://www.opmed.ai/platform/resources/staff",
    "https://www.opmed.ai/news-events",
    "https://www.opmed.ai/careers",
    "https://www.prnewswire.com/news-releases/opmedai-announces-ai-powered-or-optimization-at-geisinger-marking-milestone-in-health-care-innovation-302290341.html",
    "https://www.grovevc.com/portfolio/opmed-ai/",
    "https://www.linkedin.com/company/opmedai"
  ],
  "summary": "AI-powered healthcare operations platform that optimizes operating room scheduling, staff and equipment planning, and perioperative resource allocation.",
  "description": "Opmed is an AI-driven optimization platform focused on perioperative and broader healthcare planning. It provides modules for OR scheduling (Schedule Builder, Block Architect), PACU planning, staff and equipment/resource optimization, procedure/NORA scheduling, forecasting of case lengths and utilization, and reporting/insights via an AI assistant (Opmed Sidekick). The solution integrates with major hospital systems and is marketed to health systems and government hospitals.",
  "target_users": [
    "perioperative leaders",
    "surgical schedulers",
    "OR managers",
    "anesthesiologists",
    "surgeons",
    "nursing managers",
    "hospital administrators",
    "capacity planners",
    "operations analysts",
    "government hospital IT/procurement"
  ],
  "specialties": [
    "perioperative care",
    "operating room (OR) management",
    "post-anesthesia care unit (PACU)",
    "cath labs",
    "non-operating room anesthesia (NORA)",
    "rehabilitation",
    "inpatient care"
  ],
  "regions_available": [
    "United States",
    "Israel",
    "international / global"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "enterprise_quote",
  "pricing_details": "Contact vendor for pricing; enterprise deployments and government procurement (Alliant/ECAT) available. Demo and ROI calculator on website.",
  "license": "commercial proprietary",
  "deployment_model": [
    "SaaS"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "Predict case durations using historical data and AI (>90% accuracy claimed)",
    "Automated optimized OR schedule construction",
    "Intelligent consolidation of schedule gaps into usable windows",
    "Constraint-aware scheduling (staff, equipment, surgeon preferences)",
    "Optimize for strategic goals (cost reduction or increased volume)",
    "Real-time handling of urgent/late changes",
    "Case sequencing to maximize OR throughput and utilization",
    "Harmonize PACU capacity with OR schedules",
    "Personalized provider preference honoring",
    "What-if / scenario-based schedule adjustments"
  ],
  "optional_modules": [],
  "integrations": [],
  "data_standards": [],
  "api_available": "unknown",
  "system_requirements": "",
  "compliance": [
    "GDPR"
  ],
  "certifications": [],
  "security_features": [
    "HTTPS",
    "Encryption in transit / at rest (stated)"
  ],
  "privacy_features": [
    "Consent for cookies/marketing",
    "EU/UK data subject rights (access, rectification, erasure, portability, objection)",
    "Cookie opt-out and withdrawal of consent",
    "Data retention policy (retains contact data for one year)"
  ],
  "data_residency": "Transfers outside the EU; uses EU standard data transfer safeguards / SCCs; website targeted at US and Israel audiences",
  "customers": [
    "Mayo Clinic",
    "Geisinger"
  ],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "",
  "integration_partners": [
    "Microsoft Azure Marketplace",
    "Microsoft AppSource"
  ],
  "id": "P1201",
  "slug": "opmed",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-09-07",
  "links_json": {
    "self": "https://www.healthaidb.com/software/opmed.json"
  }
}