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In-House Health Launches AI-Powered Scheduling Platform for Nursing with $5.4M in Funding

by Fred Pennic 05/08/2024 Leave a Comment

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What You Should Know: 

– In-House Health, a healthcare technology company focused on streamlining nurse scheduling, announced its official launch and $5.4 million in funding. 

– The investment round, led by NEA and TMV with participation from pre-seed investors Vine Ventures and Longevity Venture Partners, fuels In-House Health’s mission to revolutionize nurse scheduling through AI-powered solutions.

Addressing Nurse Burnout with Technology

In-House Health was founded in 2023 by a team with a unique perspective: two healthcare professionals and a technical leader. Recognizing the challenges nurses face with scheduling and staffing, they aimed to leverage technology to create a more efficient and supportive work environment.

The Problem: Time-Consuming Scheduling and Unpredictable Demand

Nurse leaders currently spend a significant portion of their time (over 15 hours per week) on manual scheduling tasks. This reliance on outdated methods like drag-and-drop screens, whiteboards, or even pen and paper, hinders efficiency.

Furthermore, large hospitals often operate with a siloed approach, managing thousands of employees across regions. This leads to difficulties in anticipating staffing needs and responding to fluctuating demand.

In-House Health’s Solution: AI-Powered Scheduling for Streamlined Workflows

In-House Health tackles these challenges through a data-driven approach:

  • Collaboration with Hospitals: The company works closely with hospitals and providers to integrate seamlessly into existing workflows.
  • AI-powered Scheduling: Their AI algorithm, trained on millions of patient records, identifies patterns in bedside care. This allows for:
    • Predictive Forecasting: Anticipating shift changes weeks in advance, unlike traditional methods.
    • Reduced Scheduling Time: The algorithm potentially cuts scheduling times in half.
    • Labor Cost Savings: In-House Health estimates over 10% cost reductions through optimized staffing.
“Saving manager time on scheduling is a huge win and relieves burnout among nursing leaders, but the real prize is improved staffing outcomes,” explained Ari Brenner, Co-Founder at In-House Health. “When hospitals fail to properly predict the future, it costs money in overtime pay and agency use. We can reduce both through precision staffing.”
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Tagged With: Artificial Intelligence, Care Coordination

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