in-house-health

JSON twin: https://www.healthaidb.com/software/in-house-health.json

Company Name

In-House Health

Product URL

https://www.inhouse.health/product

Company URL

https://www.inhouse.health

Categories

Summary

AI-driven nurse scheduling and workforce management platform that automates shift assignment, forecasting, and float-pool coordination for hospitals and skilled nursing facilities.

Description

In-House Health is a commercial SaaS platform that provides predictive analytics, automatic schedule generation, self-scheduling, shift communications, payroll reconciliation, and float-pool management tailored to nursing teams. The product integrates patient census and acuity forecasting with skill‑mix and regulatory constraints to optimize staffing, reduce costs, and save manager time; deployment options include overlay automation on existing schedulers or end-to-end scheduling.

Api Available

unknown

Certifications

Company Founding

2023

Company Offices

Compliance

Customers

Data Residency

Data Standards

Deployment Model

Features

Id

P0784

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; free opportunity assessment available on request

Pricing Model

enterprise_quote

Privacy Features

Ratings

Regions Available

Release Year

2023

Security Features

Specialties

Support Channels

System Requirements

Target Users

Training Options

Type

product

User Reviews

Version

1.0

Canonical JSON

{
  "company_name": "In-House Health",
  "company_url": "https://www.inhouse.health",
  "company_offices": [
    "United States",
    "Israel"
  ],
  "company_founding": "2023",
  "product_url": "https://www.inhouse.health/product",
  "categories": [
    "clinical",
    "administrative",
    "workforce management",
    "scheduling",
    "predictive analytics",
    "AI-driven operations"
  ],
  "market_segment": [
    "enterprise",
    "smb"
  ],
  "links": [
    "https://www.inhouse.health",
    "https://www.inhouse.health/product",
    "https://www.inhouse.health/about",
    "https://www.inhouse.health/contact",
    "https://www.inhouse.health/pr-blog",
    "https://www.inhouse.health/skilled-nursing",
    "https://elion.health/categories/scheduling-optimization/products",
    "https://www.businesswire.com/news/home/20240508413979/en/In-House-Health-Raises-%244-Million-Seed-Round-Unveils-AI-Powered-Scheduling-Platform-to-Combat-Nurse-Shortage-Crisis",
    "https://www.fiercehealthcare.com/health-tech/house-health-nabs-4m-build-out-ai-enabled-scheduling-platform-nursing-teams",
    "https://www.linkedin.com/company/in-house-health"
  ],
  "summary": "AI-driven nurse scheduling and workforce management platform that automates shift assignment, forecasting, and float-pool coordination for hospitals and skilled nursing facilities.",
  "description": "In-House Health is a commercial SaaS platform that provides predictive analytics, automatic schedule generation, self-scheduling, shift communications, payroll reconciliation, and float-pool management tailored to nursing teams. The product integrates patient census and acuity forecasting with skill‑mix and regulatory constraints to optimize staffing, reduce costs, and save manager time; deployment options include overlay automation on existing schedulers or end-to-end scheduling.",
  "target_users": [
    "nursing executives",
    "unit managers",
    "central staffing/scheduling teams",
    "direct care nurses",
    "float pool coordinators"
  ],
  "specialties": [
    "nursing workforce management",
    "hospital medicine",
    "skilled nursing",
    "medical-surgical",
    "intensive care (ICU)"
  ],
  "regions_available": [
    "United States"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "enterprise_quote",
  "pricing_details": "Contact vendor for pricing; free opportunity assessment available on request",
  "license": "proprietary commercial",
  "deployment_model": [
    "SaaS",
    "cloud"
  ],
  "os_platforms": [
    "Web",
    "iOS",
    "Android"
  ],
  "features": [
    "Predictive shift-level staffing forecasts (1-3 weeks)",
    "Proprietary workload score factoring patient acuity and admits/discharges",
    "AI Copilot to suggest schedule updates balancing cost and preferences",
    "Automated schedule generation and week-level updates",
    "Preference tracking (standing preferences, conflicts, extra-shift interest)",
    "Self-scheduling / shift sign-up workflow",
    "Custom shift lengths and templating for staggered/differential shifts",
    "Reliability scoring to predict likelihood of call-ins",
    "Push notifications via text and email for open shifts",
    "Unit- and facility-level configurable parameters (regulatory/union rules)",
    "Real-time and historical HRPD and staffing reporting suite",
    "Integration onboarding and data feed ingestion",
    "Command Center / dashboard with shift heatmaps and insights",
    "Opportunity assessment, scoping, launch, and post-launch support"
  ],
  "optional_modules": [
    "Self-scheduling module",
    "Preference-routing and engagement",
    "AI Copilot scheduling suggestions",
    "Advanced reporting and analytics",
    "Inter-facility float and expansion management"
  ],
  "integrations": [],
  "data_standards": [],
  "api_available": "unknown",
  "system_requirements": "",
  "compliance": [],
  "certifications": [],
  "security_features": [],
  "privacy_features": [],
  "data_residency": "",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [
    "helpdesk",
    "on-site support",
    "dedicated support representative"
  ],
  "training_options": [
    "documentation",
    "live_online onboarding",
    "onsite go-live support"
  ],
  "release_year": "2023",
  "integration_partners": [],
  "id": "P0784",
  "slug": "in-house-health",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-09-07",
  "links_json": {
    "self": "https://www.healthaidb.com/software/in-house-health.json"
  }
}