The book provides evidence-based best practices and solutions designed to enhance staffing effectiveness while also aiming to reduce labor costs.

Additionally, it offers practical guidance on operational strategies, key performance indicators, and best practices tailored for healthcare leaders.

Dr. Dani Bowie, a recognized authority in healthcare staffing, has released a new book titled "Reimagine Workforce Management with AI: a Roadmap for Healthcare Leaders," aimed at enhancing nurse scheduling and staffing through artificial intelligence.

With over 15 years of experience in healthcare operational excellence, Dr. Bowie currently holds the position of Senior Vice President of Workforce AI at Aya Healthcare.

The book has received accolades from industry professionals, with endorsements highlighting its practicality and relevance for healthcare executives.

Hospitals and healthcare systems can access a complimentary 80-page copy of the book, which is packed with tools and evidence-based practices for effective workforce management.

Dr. Bowie underscores the necessity of equipping healthcare leaders with the right tools and support to optimize workforce planning and scheduling for improved outcomes.

By providing a free copy of the book through a designated link, the initiative encourages the widespread adoption of AI in workforce management across the healthcare industry.

Aya Healthcare is the largest healthcare talent software and staffing company in the U.S., providing a variety of services including travel nursing and staffing solutions.

Rudy Jackson, a senior nurse executive, remarked that the book is essential for anyone involved in workforce strategy within the healthcare sector.

This resource includes best practices, key terminology, and a historical overview of AI, offering healthcare leaders step-by-step solutions to enhance their scheduling and staffing systems.

Key topics addressed in the book encompass strategies for each phase of workforce management, the integration of AI into healthcare systems, and the establishment of an effective AI infrastructure.