AlayaCare develops AI tool for home care rostering and retention

2 minute read


The software streamlines staff rostering and collects data on job satisfaction among home care workers.


Aged care software provider AlayaCare has launched a new tool using large language modes and predictive algorithms to improve job satisfaction and employee retention among home care workers. 

The tool is designed to collect data across a range of indicators affecting employee satisfaction, including staff rostering and the time between an employee’s hire date and their first scheduled visit, to alert employers to staff members at the greatest risk of quitting.

The software will also allow employers to automate their scheduling processes by which care workers are matched with vacant visit clients, not only to prevent human error and bias but also to optimise the matching process according to clients’ individual needs.

According to Annette Hili, ANZ general manager at AlayaCare, the technology aimed to streamline the staff rostering process for employers and reduce worker burnout

“We’re being told time and time again that scheduling is a challenge for our Australian and New Zealand clients,” Ms Hili said.

“It’s time consuming and costly for the employers, as it requires a complex juggling of availability, skillset and matching the right care workers to the right shift, [and] when it is not done well it can lead to care worker burnout and exhaustion.

“We realised we needed to offer a scheduling solution that simplifies this important work and reduces the scheduler’s workload.” 

An estimated 65,000 workers leave the aged care sector each year, leading to a predicted shortage of between 30,000-35,000 direct workers annually, according to a 2022 report conducted by the Committee for Economic Development of Australia.

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