Data science
Scheduling optimisation for home and disability care
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 work tirelessly to ensure that our loved ones receive the care they need. And organisations know that providing consistent, fully allocated shift work to their…
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The evolution of workplace training in a post pandemic world
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 remote work, forcing both employees and companies to adapt swiftly. Zoom calls and online learning modules became the norm. The transition from traditional in-person training…
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AI and algorithms: optimising care for an ageing population
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 place they call home, providers want to find ways to meet their needs more effectively and efficiently. This is where artificial intelligence (AI) and advanced…
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5 ways AI and advanced algorithms are optimising scheduling for care providers
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 shortages, technological advances, and regulatory changes have all contributed to more complex operations. At the same time, care providers must handle a rising number of…
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Empowering care with the power of data exploration
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 been more important.
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AlayaCare Using Predictive Analytics to Increase Care Worker Retention
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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