In-House Health

In-House Health is a healthcare technology company that has developed an artificial intelligence (AI)-driven scheduling and management platform designed to streamline staffing workflows for modern nursing teams. The platform leverages predictive analytics and automatic scheduling tools to optimize nurse scheduling and improve team experience, patient safety, and financial outcomes for hospitals.

In-House Health's AI algorithm is trained on millions of patient records, enabling it to identify patterns in bedside care and anticipate shift changes weeks in advance, unlike traditional scheduling methods. The company's technology can potentially reduce the time spent on scheduling by half or more and lower labor costs by over 10% by building optimized work shifts.

The startup's solution addresses the challenges faced by hospitals, where nurse team leaders typically spend more than 15 hours per week managing shift schedules manually, often using inefficient methods like drag-and-drop screens, whiteboards, or pen and paper. Additionally, hospitals with thousands of employees operating in regional silos face unpredictable demand and difficulties in managing their workforce effectively.

In-House Health collaborates closely with hospitals and providers to integrate its platform seamlessly into existing workflows. The company aims to alleviate the burden of manual scheduling and improve staffing outcomes, ultimately reducing costs associated with overtime pay and agency use through precision staffing.