Naomi Goldapple heads up AlayaLabs for AlayaCare, a company on the cutting edge of digitally transforming home care. When the pandemic hit, they, like so many others, had to make a rapid shift and innovate through crisis, developing products and digital methodologies to enable home care that was safe and effective for patients, families and home nurses alike. We learn how AlayaCare is revolutionizing the industry with AI, machine learning and an outcome-based approach, from the front lines of a new frontier for health care.  

People do better at home  

A core take away from the COVID-19 pandemic is that most of us can do quite well at home, especially when it comes to caring for our elderly. Naomi says the pandemic really shed a light on the facts, numbers, and sheer chasm between home care and traditional geriatric care which makes optimizing home care methods even more urgent.  

 

The secret to Machine learning is in implementation  

Machine learning and autonomous intelligence technologies have existed for a while. It’s the application and execution of these technologies that are unique, and that drive the success or failure of the technology. According to Naomi, the use of the technology is not the relevant factor -- driving value through the tech is what counts.  

 

Optimizing for ourselves as well as our customers  

When we talk about digitally optimizing health care, patient care is top of mind, but Naomi and AlayaCare are focused on other aspects of the home care industry as well. It’s more urgent than ever to use tech to better understand and meet the needs of health care providers who work in a physically and emotionally demanding industry with a staggering churn rate.  

 

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This episode of The CIBC Innovation Banking Podcast was produced by Quill.