The company’s AI algorithm aims to streamline workflows and improve on traditional processes by predicting shift needs well in advance. Credit: Gorodenkoff / Shutterstock.

US-based healthcare technology company In-House Health has introduced an AI-powered scheduling and management solution designed to support nursing teams.

The launch comes after the company secured $4m in a recent seed funding round, which was led by New Enterprise Associates (NEA) and TMV, and saw contributions from Longevity Venture Partners, Vine Ventures and other investors.

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The funding brings In-House Health’s total capital raised to date to $5.4m.

In-House Health was co-founded last year by healthcare professionals Ari Brenner and Sergey Vasilenko alongside technical expert Shachar Har Zvi.

The company’s AI algorithm has been trained on millions of patient records and aims to streamline workflows and enhance traditional processes by predicting future shift needs.

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In-House said this could potentially halve the time spent on scheduling and reduce across-the-board labour costs by more than 10%.

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Brenner said: “Saving manager time on scheduling is a huge win and relieves burnout among nursing leaders, but the real prize is improved staffing outcomes.

“When hospitals fail to properly predict the future, it costs money in overtime pay and agency use. We can reduce both through precision staffing.” 

In-House said its platform has seen rapid adoption and is currently aiding in the management of more than 800 nurses, having been well-received by both hospital executives and bedside nurses.

James Kerridge, who is Chicago VA Medical Center associate chief nurse and Illinois Organization of Nurse Leaders board member, has been part of In-House’s Nursing Advisory Board for more than a year.

Since joining the board, he has been involved in shaping the company’s product and clinical strategy.

Kerridge said: “In-House’s platform makes it easy for hospitals to schedule adaptively.

“This unlocks control over schedule and flexibility that is now critical to keep nurses satisfied and reduce burnout associated with last-minute changes.”