The 2026 Open Shift Management Report for Health System Leaders
See how leading health systems are shifting coverage internally and slashing premium pay across nursing and allied health roles. Get your free 2026 Open Shift Management Report now!
Smarter Healthcare Workforce Management Starts Here
Our Knowledge Center delivers practical, data-backed insights to help hospitals and health systems control labor costs, reduce agency dependency, and strengthen workforce sustainability.
From nurse staffing strategies and labor cost management to retention best practices and open shift optimization, our articles equip healthcare executives with the tools to improve margins without compromising patient care.
See how leading health systems are shifting coverage internally and slashing premium pay across nursing and allied health roles. Get your free 2026 Open Shift Management Report now!
Many health system executives are concerned about healthcare labor cost reduction and improving operational efficiency. So, if you're looking for innovative health system staffing solutions that drive significant savings and optimize workforce operations, you've come to the right place.
Nursing shortages existed before COVID-19, but the pandemic accelerated the trend, worsening burnout and stress and leading to early retirements and a mass workforce exodus. However, studies show the real drivers are deeper issues like inadequate staffing, lack of support, emotional strain, and better pay.
According to a recent study by Mercer, we are to expect a shortage of over 100,000 critical healthcare workers by 2028. This startling statistic underscores the critical need for improved healthcare staffing efficiency. As patient care demands continue to grow and evolve, healthcare facilities must adopt innovative strategies to optimize their workforce management and ensure high-quality care delivery.
Artificial Intelligence (AI) is revolutionizing many sectors, and healthcare is at the forefront of this transformation. AI in healthcare refers to the use of advanced algorithms and software to analyze complex medical data. The AI systems utilize machine learning, deep learning, and other computational methods to mimic human cognitive functions. These capabilities enable AI to assist in a wide range of healthcare functions, from diagnostics to treatment plans.
Picture a bustling hospital where AI-powered diagnostic tools swiftly analyze medical images, freeing up radiologists to focus on complex cases. Envision nurses spending more time at bedsides, unburdened by administrative tasks now handled by intelligent algorithms. This isn't a scene from a distant future – it's the emerging reality of healthcare today, and it's transforming the way we approach healthcare staffing and workforce management.
In today's rapidly evolving healthcare landscape, leaders face the challenging task of maintaining financial stability while ensuring the delivery of high-quality patient care. Rising operational costs, coupled with the need to comply with ever-tightening regulations, have pushed many healthcare organizations to adopt cost-cutting measures. However, this approach often sparks concern among healthcare professionals and patients alike, who fear that reducing expenses might compromise the quality of care.
