Staffing Optimization & Operations
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In order to adapt staffing to daily needs, data platforms can drive better anticipation of patient demand (through patient forecasting), ensuring that there are enough health care providers to support a patient load.
A major use case for machine learning in operations is predicting hospital bed or emergency room availability. Emergency room overcrowding is an expensive and dangerous problem that can be reduced by a system that predicts the number of incoming patients, and subsequently prioritizes discharging patients to free up space or redirects incoming cases to nearby hospitals.
Benefits for the company
Each hospital and clinic is dependent on its staff, whose salaries account for more than 50 percent of average hospital costs
Feasability
High
Type of expertise/ AI domain
Machine Learning and Analytics
Internal data required
Staff records, Hospital level time series records for incoming and outgoing patients
Virtual nursing assistants, automatic patient booking, and other AI-enabled tools have helped reduce healthcare costs.