In-House Health

In-House Health is a web-based AI nurse scheduling platform for hospital nurse managers, central staffing teams, and nursing executives that automates planning and shift coverage.

Key capabilities include:

• Predictive staffing forecasts that estimate shift-level requirements 1 to 3 weeks ahead, using clinical data and a proprietary Workload Score that accounts for patient acuity and unit type (for example, ICUs).
• Automatic schedule recommendations that suggest real-time slot filling and staff assignment, prioritizing full-time staff and known nurse preferences.
• Built-in communications with button-push text and email messaging to engage staff and resolve open shifts.
• Staffing analytics and reporting, including historical, current, and future HPPD (hours per patient day) reporting to support budget and performance discussions.

Pricing: Unknown.

Notable for combining acuity-aware forecasting with automated assignment and outreach workflows. It is currently deployed in hospitals managing 800+ nurses and has reported labor savings claims (up to 10% and up to $800,000 annually per hospital, per provided materials).