In House Health

In House Health provides a software platform designed for the practical needs of nursing teams and their management. The core offering is a predictive automation and scheduling tool that helps nurse managers and healthcare administrators optimize shift assignments while considering patient acuity, skill mix, union or regulatory limitations, and individual staff preferences. By automating many labor-intensive scheduling processes, it reduces repetitive manual work, saves money for healthcare organizations, and ensures coverage that meets both budget and patient care needs.

The platform can be deployed on top of existing scheduling solutions or used as a comprehensive scheduling system. It offers features for self-scheduling, communication of assignments, automated reconciliation with payroll, and integrated management for float pools across multiple facilities. Real-time dashboards allow executives and managers to monitor unit performance, spot issues quickly, and see the financial impact of staffing decisions.

Users include those at every level of the nursing hierarchy, from chief nursing officers wanting a macro-level view to unit managers responsible for scheduling compliance and direct care nurses seeking flexibility within shift offerings. The system is designed to reduce the burden of last-minute changes and traditional spreadsheet chaos, leading to better working conditions for staff and improved outcomes for patients.

In House Health is intended for healthcare organizations, especially hospitals and skilled nursing facilities, looking for advanced nurse scheduling and workforce management. Typical users are chief nursing officers, unit managers, central schedulers, and operations leaders responsible for staffing, compliance, and labor costs.

The platform is ideal for institutions facing challenges such as complex union requirements, diverse skill sets among nurses, and a need for flexible, transparent scheduling for both full-time and per-diem staff. It also appeals to clinical leadership aiming to improve efficiency, reduce manual workload, and optimize staffing to enhance care delivery and minimize labor spend.