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    Angelina Morrissey 2 months ago

    Healthcare cost management has become more critical than ever—both for providers and patients. With rising operational expenses, increasing pressure from payers, and a greater push for value-based care, organizations today must adopt smarter, more efficient strategies to remain financially sustainable. One highly effective approach in healthcare cost management is reducing artificial variability in patient flow. By standardizing elective procedures and optimizing appointment scheduling, hospitals can minimize unnecessary delays, cut down on staff overtime, and ensure better utilization of beds and other resources. In parallel, the use of data-driven predictive analytics—especially with AI and machine learning—has become crucial in forecasting patient needs, preventing readmissions, and identifying cost-driving inefficiencies. Bundled payment models are also gaining traction. These models allow providers to manage costs more effectively across the entire episode of care—from the initial procedure to rehabilitation—while maintaining or even improving quality outcomes. Another important strategy in healthcare cost management is population health management. By identifying and proactively supporting high-risk populations, healthcare systems can reduce chronic care costs and minimize the need for emergency interventions.

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