My current research includes classifying surgical patients into lower variability resource user groups and developing a resource allocation scheme to improve the efficiency of the healthcare system. Apart from this, I am interested in scheduling and stochastic optimisation of real life systems.
Research Interests:
Analytics
Data Science
Stochastic modelling
Stochastic simulation
Qualifications:
Master of Science (Mathematics and Statistics)
Graduate Diploma in Science (Mathematics and Statistics)
Demand for healthcare services is growing rapidly in Australia, and rising healthcare expenditure is increasing pressure on the sustainability of the government-funded healthcare system. To keep up with the rising demand, we need to be more efficient in delivering healthcare services. To make a system efficient, we need to identify the source of inefficiency and eliminate it.
Publications
Invited talks, refereed proceedings and other conference outputs
Kumar, A.
(2018). A two-stage prediction model to predict surgical patients resource utilisation group from the electronic patient database. ISCB ASC 2018, The Joint International Society for Clinical Biostatistics and Australian Statistical Conference.
