What do bicycles and AI have in common? How to optimize efficiency at your hospital

Similar to how the bicycle revolutionized mankind's ability to get places, artificial intelligence has the potential to make healthcare workers' lives faster, easier and more efficient.

"Steve Jobs liked to say the computer was the bicycle of the human mind," says Sean Lane, CEO and co-founder of CrossChx. "It was the tool that we used to scale our mind and accomplish more than we could ever accomplish today … so if you look at where AI is today, we believe AI is the bicycle for humans — the bicycle for work."

During a March 13 webinar sponsored by CrossChx and hosted by Becker's Hospital Review, Mr. Lane discussed the way AI is rapidly evolving and can be used to automate processes in healthcare to achieve more than ever before.

From humble beginnings…

Consider the personal computer. When this tool became available in the late 1970s, it promised to do remarkable things, but it was limited to enterprises and big businesses; not many people understood how to use it or what it was capable of until developers simplified it. Suddenly, PCs were on desks at jobs and in the home, cementing their mark on society.  

"We think that we are in a similar moment with AI, and it's not really the mainframe version of AI that's going to make the biggest difference. It's not the most advanced algorithms, and the most advanced neural nets — it is the widespread application of AI that can be operational today," Mr. Lane says.  

What health systems are doing wrong with AI

When health systems get started with AI, they may take on complex AI, machine learning or data analytics algorithms and tools that promise to provide interesting insights. However, Mr. Lane warns hospital leaders against only using AI to gain insight into complicated clinical issues. Instead, he recommends organizations think about actionable ways to use AI to solve current, day-to-day problems and relieve clerical burden from employees.   

"AI should be implemented in a way, in healthcare, where you can't really tell the difference between your artificial intelligence and a human," Mr. Lane says.

How to take AI to the next level

Healthcare workers are trained to use a plethora of computing tools — from software applications to revenue cycle management solutions to EHRs. AI can leverage the work humans have already done by learning how to use these tools, too.

That can be accomplished through a formula that describes what AI is and what it wants to do, and it starts with robotic process automation. RPA is a way of automating clerical tasks and processes based on the idea of an artificially intelligent worker or software robot. RPA can see a screen and understand the user interface to ultimately use a piece of software and complete clerical tasks just like a human would — only faster.

The implications of this technology in healthcare are significant. By training AI systems to use computer programs to complete some of a hospital's administrative work — running prior authorizations, checking patient eligibility, sending appointment reminders — organizations can free their employees to focus on more pressing concerns, such as patient care.

Here's what Olive can do for your workers

CrossChx developed its own super connected intelligent learning bot called Olive, which the company calls "your newest employee." Using AI and machine learning, Olive can relieve workers' administrative burden by automating repetitive, high-volume tasks, giving organizations the chance to scale their workforce and ease clerical burdens for employees. It is able to use all the software already in use at a health system, as opposed to other AI tools that involve new software and more screens open on computers. Olive, working with the EHR and other software tools, can extract information to tackle tasks such as post-visit insurance eligibility, prescription prior authorizations, insurance subrogation evaluations and other time-intensive jobs.

"Olive is really a router … that will create this internet of healthcare overtime," says Mr. Lane, adding CrossChx wants to be the Google search engine for enterprise data. "Imagine a world where Olive is logged into thousands of EMRs across all of healthcare. … Imagine what we could do with the ability to search every single [health] system to help treat patients."

Click here to access the webinar recording.

Click here to learn more about Olive.

 

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