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Olive AI System Might be the Healthcare of the Future

Few industries are on the edge of breakthrough technology like the healthcare sector. Perhaps nowhere is this more evident than in the recent introduction of Olive AI, pioneered by Olive AI, Inc., which aims to bolster communications, treatment, and efficiency of healthcare in 2021 and beyond.

Tackling a Series of Challenges

Olive AI was created to overcome a series of challenges that are faced by individuals and institutions in the healthcare industry today. The first hurdle came in the form of disconnected customer databases and a lack of interoperability between systems. Electronic health records that exist in one database, for example, might not match up with the records stored in another. Issues like this can – and have – led to a myriad of issues.

Rohan D’Souza, chief product officer with Olive AI, Inc., explained some of the reasoning behind Olive AI in a recent interview, where he said: “We think it’s unfair that healthcare relies on humans as being routers. And we have looked to solve the problem of technology not talking to each other by using humans.”

Then there is also the issue of automation. Olive AI addresses this problem by completing the most repetitive, high-volume tasks – thus freeing up human workers for more complicated or sensitive activities.

It’s important to note that Olive AI is built on the AWS stack, so it’s capable of using this distributed cloud technology to achieve the necessary level of automation. This, as coined by D’Souza and his colleagues, marks the very beginning of the Internet of Healthcare.

The Internet of Healthcare

D’Souza provided some insight into how the machine learning algorithms of Olive AI work by saying: “We’re leveraging technology by saying when one Olive learns, all Olives learn so that we take advantage of the network effect of a single Olive worker in the trenches of healthcare, sharing that knowledge and wisdom, both with her human counterparts but also with her AI worker counterparts.”

Given all of the next-gen functionality seen in Olive AI, the development team behind the new AI platform is highly optimistic. After all, it’s already been used to reduce errors in data and billing, mitigate erroneous denials, and improve past due bill collections. While this only represents a small sample of what Olive AI is capable of doing, it’s a strong start and a great idea of the potential of both Olive and other AI systems in the near future.

D’Souza touted the powers of Olive AI one last time by saying: “She’s unbiased, data-driven, extremely transparent in her approach. She’s empathetic. Most importantly, she’s incredibly knowledgeable, and we really want to bring that knowledge that she has gained over the years of working in the trenches of healthcare to her customers.”

Given that description, Olive AI does sound like the perfect healthcare provider for the 21st century. While there’s still some bugs to work out, and it still has yet to be tested on any sort of large scale in the field, Olive AI certainly holds a lot of promise for things to come in the way of healthcare IT.


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