AlayaCare Using Predictive Analytics to Increase Care Worker Retention

AlayaCare Posted on 25/08/2021 2:18:42 AM

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.

While COVID-19 remains the one of the top challenges identified by organisations,  care worker shortage and employee churn are also critical pain points faced by the industry.

AlayaLabsAlayaCare’s data science team, is helping providers manage limited personnel resources and identify retention risks so that they can intervene before an employee departs. 

“Employee churn is a constant challenge for providers,” said Naomi Goldapple, Head of AlayaLabs at AlayaCare. “We know that inconsistent hours, poor scheduling, and lag time between hiring and deploying a new employee can greatly detract from employee engagement. With our business intelligence capabilities, we’re able to help clients identify retention metrics and provide daily reports so that managers can act on the data and reduce the likelihood of an employee leaving.” 

The employee satisfaction data is easily consumed via client-specific dashboards, which measure employee retention and business performance. The dashboard highlights how an organisation is performing around its retention metrics, and flags those that are known to be indicators of at-risk care workers.  

As an example, younger employees tend to quit at a far higher turnover rate, so dashboards allow for reporting by age, with ‘drill down’ capabilities to see underlying data points. 

As an example, younger employees tend to quit at a far higher turnover rate, so dashboards allow for reporting by age, with ‘drill down’ capabilities to see underlying data points. 

When Home Instead Australia implemented AlayaCare Cloud and the mobile app, Justin Toon, who was Director of Technology at the time said, “We have seen better outcomes with our care workers, we have been able to track and see that our care workers actually want to stay employed with us. They are the biggest outcome in terms of receptiveness to using the AlayaCare mobile app. It’s been one of the biggest positives, that they’ve really adopted the digital technology and timesheets from what they were used to.” 

The employee retention dashboard is part of AlayaCare’s commitment to turning data-backed insights into action through compelling visualisation tools and benchmarking.  

Through AlayaLabs, AlayaCare is integrating insights and data to propel its artificial intelligence and machine-learning capabilities forward to deliver quality services and products to clients. 

Care organisations interested in learning more about the employee retention dashboard can contact AlayaCare

Topics: AlayaLabs, Predictive analytics, Data science, Retention