US-based healthcare workforce solutions developer Ingenovis Health has partnered with Findd, a company specialising in workforce management technology and predictive analytics, to provide technology-driven healthcare staffing solutions.
The partnership aims to offer healthcare leaders smarter, data-driven tools for workforce planning, which the partners claim are essential for enhancing patient care outcomes, reducing labour costs and increasing retention.
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Ingenovis Health chief client officer Becky Kahn said: “Our partnership with Findd allows us to advance workforce strategies that optimise the use of internal core resources.
“By enhancing engagement and flexibility, while rightsising the use of high-quality external clinicians – like those provided by our Ingenovis brands – we can help our clients achieve clinical excellence, operational flexibility, staffing efficiencies and financial sustainability.
“These solutions ensure continued patient access to quality care, particularly in underserved and rural areas.”
Healthcare leaders are currently facing staff shortages, budget restrictions and the need for greater efficiency.
Ingenovis Health’s partnership with Findd aims to enable these organisations to minimise their reliance on overtime and make better use of contingent labour, streamline workforce management through predictive scheduling, and offer employee-friendly staffing solutions.
The collaboration will offer scalable and adaptable workforce solutions, facilitating customised strategies to meet the needs of various hospitals and health systems.
This technology is designed to allow healthcare leaders to promote sustainable care within their communities without causing disruptions to care services.
Findd CEO Dan White said: “The ability to seamlessly integrate workforce optimisation with financial and operational strategy is a game-changer for healthcare organisations.
“By combining Ingenovis Health’s deep expertise in clinical staffing and talent operations with Findd’s advanced AI-driven workforce solutions, we are delivering a solution that optimises the existing technologies within the healthcare facility, provides a single view of critical data, implements predictive analytics modelling to inform operational efficiencies that ensure clinician retention and improve patient satisfaction metrics.”
