In‑House Health offers an AI‑driven scheduling platform that predicts patient census and acuity to automatically generate nurse shift assignments aligned with skill‑mix, union, and regulatory constraints. The solution includes a self‑service portal for nurses to set preferences and claim shifts, real‑time dashboards for managers, and integration with payroll and existing scheduling systems to reduce manual effort and overtime.
Funding
$4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Healthcare facilities face a capacity crisis where nurse scheduling must juggle patient workload, skill‑mix requirements, union and regulatory constraints, and a mix of PRN, float, travel and per‑diem staff—all while minimizing overtime and ensuring compliance.
Solution
In‑House Health delivers an AI‑driven scheduling platform that continuously forecasts unit census and acuity, then automatically generates or adjusts shift assignments to match nurse qualifications with patient needs. The system offers a self‑service portal for nurses to indicate preferences and pick up open shifts, while managers retain oversight through real‑time dashboards that display staffing gaps, budget impact, and compliance metrics. Integrated communication tools push schedule changes directly to staff and synchronize with payroll systems, eliminating manual spreadsheet workflows. The platform can operate as an overlay on existing scheduling software or as a full end‑to‑end solution, providing flexibility for hospitals and skilled‑nursing facilities alike.
Target Audience
The primary customers are nursing executives (CNOs), unit managers, and central staffing coordinators in hospitals and skilled‑nursing facilities, as well as direct‑care nurses who use the self‑scheduling portal.
Features
- Predictive analytics engine that ingests real‑time patient census, acuity scores, and historical staffing data to generate optimal shift plans
- AI “copilot” that auto‑matches nurse certifications, skill levels, and contract types to unit requirements while respecting union rules and regulatory limits
- Self‑scheduling web and mobile interface allowing nurses to set availability, request swaps, and claim extra shifts with instant validation
- Automated communication layer that delivers shift assignments, change notifications, and confirmations via SMS, email, or in‑app alerts
- Seamless payroll reconciliation module that exports finalized hours and overtime calculations to major payroll systems via secure APIs
- Executive‑level dashboard with KPI visualizations for staffing costs, budget adherence, and patient‑to‑nurse ratios across facilities
- Float pool management tools that dynamically allocate float staff to units with sudden demand spikes, reducing reliance on overtime
- Integration adapters for existing scheduling platforms, enabling the AI layer to augment legacy systems without full migration