HR & People Operations
In-House Health
AI-driven nurse scheduling and management platform for modern nursing teams
Overview
The In-House Health homepage
In-House empowers nurse managers with predictive AI automations to save time on manual scheduling tasks and reduce labor costs while improving working
Capabilities
- Self-scheduling with preference tracking
- Customizable shift lengths based on daily unit needs
- Automatic reliability score for staff call-in likelihood
- Float pool and facility management dashboards
- Real-time HPPD reporting and predictions
- Surgical timing prediction for perioperative scheduling
- Text and email messaging for shift notifications
- Workload Score adjusting for patient-specific requirements
Pricing
Pricing model: Contact for pricing
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In-House Health fact sheet
| Community votes | 0 |
|---|---|
| Based in | Denver, United States |
| Website | inhouse.health |
In-House Health metrics
Vendor metrics for inhouse.health: Ahrefs Domain Rating and Majestic link data, with the delta since the last review.
- Domain Rating
- 27
- +1 (up) since last check
- Trust Flow
- 12
- no change since last check
- Citation Flow
- 26
- no change since last check
- Referring domains
- 76
- no change since last check
- External backlinks
- 1,057
- no change since last check
Vendor Domain Rating (Ahrefs) checked 6 Nov 2026, spec changed 1 Nov 2026. Vendor topic: Business/Financial Services (12). Vendor Majestic data checked 26 Oct 2026, spec changed 26 Oct 2026. Link metrics supplied by Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
In-House Health vendor domain
Open the vendor record
We read this from the registry's RDAP record on 5 Nov 2026, 19:51 UTC.
- Domain age
- 3 years
- Registered
- Expires
- Registrar
- Squarespace Domains II LLC
- DNSSEC
- Signed
In-House Health post-launch report
| Measure | At launch, then latest |
|---|---|
| Domain Rating (Ahrefs) | 25 to 27 +2 (up) since launch 26 Oct 2026, then 6 Nov 2026 |
| Trust Flow (Majestic) | 12 first measured 26 Oct 2026 |
| Referring domains (Majestic) | 76 first measured 26 Oct 2026 |
Day 10 since launch. Next receipt: day 30, 25 Nov 2026. Many things move these figures, so a change is not proof of cause. Only stored readings are shown.
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Buyer questions
What is predictive scheduling and why does it matter?
Predictive scheduling uses AI to forecast patient census, acuity levels and staffing needs in advance. This helps nursing teams across all care settings balance workloads, ensure accurate staffing, and maintain compliance with regulatory and skill mix requirements.
What are nursing teams saying about In-House?
Nurses using In-House report less stress and more control. With In-House, nursing teams are freed from constant schedule adjustments, giving nurses the ability to focus on what truly matters – their patients and their team's well-being.
Why do I need In-House if I already have a scheduling tool?
In-House doesn't just manage scheduling chaos, it prevents it. Most scheduling systems are fairly manual, while In-House automates. Automation can be either on top of existing systems or In-House can serve as your base system.
How can In-House help when schedules are already stretched thin?
Scarcity is inevitable, but inefficiency isn't. In-House maximizes existing teams to deliver more care through precise scheduling. The AI-driven scheduling predicts patient workload and balances skill mix of available staff to increase availability and throughput.
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In-House Health has a free listing. The owner can unlock the full profile with a paid launch for $5:
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- Demo video (locked)
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