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AI Use Case

Optimise staffing and labour resource allocation to reduce healthcare bottlenecks

Optimise labour staffing and resource allocation to reduce bottlenecks in medical institutions - in many hospital systems significant time for example is spent researching into, and managing, bed availability.


Human Resources

Employee Relations


Cost - Asset uptime optimisation,Cost - Reduced waiting times,Operational - Process speed up

Case Studies

Gold Coast Health~Gold Coast Health saves $3m per annum in operational costs by forecasting patient arrival rates at emergency care using machine learning,Mercy Hospital Fort Smith~Mercy Hospital Fort Smith improves patient flow and throughput in the ER to improves LWBS rates by over 30% using machine learning,Johns Hopkins Hospital~Johns Hopkins Hospital improves patient monitoring and resource allocation in ER and critical care units in real-time using machine learning,University College London Hospitals~UCLH plans to use machine learning to triage patients in A&E and better predict demand for the service

Potential Vendors

CSIRO,Qventus,GE Healthcare,Alan Turing Institute



Healthcare Providers And Services

Data Sets

Structured / Semi-structured,Time series

AI Technologies

ML Task - Action Selection - Reinforcement Learning ,Machine Learning (ML),Traditional AI

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