Case Study: NurseStaffing improves shift fill rates with AI from Provectus

NurseStaffing boosts shift fill rates 7% in 6 weeks with Provectus

NurseStaffing, a digital healthcare staffing marketplace, faced the challenge of prioritizing outreach for unfilled nursing shifts, which directly impacted its revenue and patient care. To address this, they partnered with Provectus through the AWS Fast Start Program to develop an AI-powered prediction model that could accurately identify shifts at the highest risk of going empty.

Provectus built and deployed a production-ready machine learning model and batch prediction pipeline within six weeks. This solution provided operations managers with fill-rate predictions, enabling targeted outreach. The implementation by Provectus resulted in a 7% network-wide improvement in shift fill rates, increasing revenue and operational efficiency for NurseStaffing.

NurseStaffing