Patient flow is a consistent challenge for most health systems. Growing patient demand strains resources, extending wait times for emergency department care and length of stay for admitted patients. While the complexity of patient flow makes it a seemingly intractable problem, artificial intelligence (AI) and analytics are uniquely positioned to make sense of vast amounts of complex information—and reduce the costs associated with complexity.
In this report, we explore how two organizations have successfully deployed AI and analytics to improve bed placement decisions and manage patient flow more effectively.
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