How AI can supercharge staffing and capacity management for hospitals

Matching supply and demand for expensive, constrained resources, such as operating rooms, inpatient beds and clinical staff is among healthcare's most difficult and important challenges. Many healthcare organizations have traditionally managed these issues by using informal knowledge or staff privileges to determine how OR blocks, patient beds and nurse schedules are allocated.
However, with advances in artificial intelligence, machine learning and insights gleaned from other industries, hospitals and health systems are now better equipped than ever to more efficiently manage scarce resources. 
This report outlines how health systems –including Chicago-based CommonSpirit Health and Winston-Salem, N.C.-based Novant Health — are using technology to tackle staffing shortages and optimize capacity and resources management, resulting in:
  • Increased access to care for patients
  • Higher revenues for provider organizations
  • Improved clinician satisfaction 

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