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Data science

Healthcare technology terms and definitions

By Dimity Kirkwood / June 5, 2024

With new technology comes new words to describe it. Some of these have obvious definitions, whereas others are a little less straightforward.

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A closer look at AlayaCare

Scheduling optimisation for home and disability care 

By Lee-Roy Chitambira / January 21, 2024

AlayaCare is harnessing artificial intelligence to create optimised algorithms that modernise staff allocation in home & disability care  Scheduling is the lifeblood for home and aged care providers, as they…

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The evolution of workplace training in a post pandemic world

The evolution of workplace training in a post pandemic world 

By Lee-Roy Chitambira / November 13, 2023

In the wake of the COVID-19 pandemic, the business world underwent a sizable shift in the way we work and learn. The pandemic accelerated the adoption of online learning and…

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AI and algorithms: optimising care for an ageing population 

By Lee-Roy Chitambira / October 31, 2023

With an ageing population in Australia, the demand for care workers and the service they provide has never been higher. With many older people wanting to receive care in the…

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5 ways AI and advanced algorithms are optimizing scheduling for home care agencies

5 ways AI and advanced algorithms are optimising scheduling for care providers 

By Lee-Roy Chitambira / April 5, 2023

The aged, home and disability care sectors are currently facing several challenges due to the increasing demand for services and the rising costs of providing care. Increasing aging populations, labour…

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Empowering care with the power of data exploration

By AlayaCare / October 10, 2021

As the demands on Australia’s aged care and disability care sectors continue to grow, the role of data exploration in driving meaningful change, efficiency, and improvements to care has never…

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AlayaCare Using Predictive Analytics to Increase Care Worker Retention

By AlayaCare / August 31, 2021

Read how AlayaLabs uses data science to help providers manage limited personnel resources and identify retention risks so that they can intervene before an employee departs.

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