In-House Health Secures $4 Million to Enhance AI-Powered Scheduling Platform for Nursing Teams

In today’s healthcare landscape, hospitals and health systems are grappling with two significant challenges: a severe healthcare worker shortage along with the rising costs of delivering health services. However, most institutions have been constrained to contract external agencies to cover the shortage of staff, especially in the Nursing profession, which incurs extra expenses.

Enter a new venture based in Denver called In-House Health, which aims to change the way hospitals manage their staffing through breakthrough technology. Their flagship product is an AI-based scheduling and management platform designed specifically for nursing teams in the modern era.

In-House Health publicly showcased its services during National Nurses Week and finally closed a $4 million seed funding round led by NEA and TMV, with contributions from Vine Ventures and Longevity Venture Partners, reaching a total of $5 million.

A trio of individuals with diverse experience in healthcare management, frontline nursing, informatics, and technology have established In-House Health. This convergence of expertise aims to address the shortcomings of traditional nurse hiring and firing practices.

Ari Brenner, a healthcare technology veteran and co-founder, as well as the former COO of Stellar Health, will contribute her valuable experience to the company. Sergey Vasilenko, an EMR/clinical informatics specialist and former critical care nurse, will share his first-hand knowledge of the day-to-day challenges that frontline healthcare workers face. Shachar Har Zvi, a senior technical lead at Google, brings his expertise in software development to the team.

 

Historically, nurse staffing and scheduling processes have been repetitive manual tasks that require a lot of time and energy. Brenner explains that nurse team leaders spend as much as 15 hours a week handling shift scheduling using outdated tools like pen, paper, and whiteboards. This ineffective use of resources exacerbates the situation of the already exhausted workforce with no consistency in staffing levels and operational challenges for hospitals working in isolation.

In-House Health employs a distinctive strategy using predictive analytics involving AI algorithms trained on vast volumes of patient data to forecast staffing needs in advance. Their platform automates scheduling tasks and offers meaningful insights. As a result, users can seamlessly operate their teams and ensure team experience, patient safety, and financial efficiencies.

In-House Health estimates it can save up to half of nurses’ planning time and 10% of labor costs. This technology provides managers with real-life benefits and healthcare systems with tangible benefits. Furthermore, the technology’s capacity to forecast clinical demand helps hospitals maintain the right staffing levels at reasonable costs by using third-party agencies or making last-minute staffing adjustments that incur additional risk.

Onboarding over 800 nurses from various hospitals demonstrates In-House Health’s platform flexibility and scalability. The company’s vision is to restructure the healthcare staffing industry, making it practical and aligned with the goals of better care, workforce satisfaction, and healthcare outcomes.