Video Bytes

How Health Systems Can Effectively Implement AI

Samara Rosenfeld
SEPTEMBER 05, 2019


Artificial intelligence (AI) has the potential to revolutionize healthcare. But, like digital health tools and other health technologies, AI needs to be implemented into a health system effectively.

Nagi Prabhu, chief product officer at Solutionreach, a digital health company, told Inside Digital Health™ at Expo.Health in Boston, Massachusetts, that there are two main things that healthcare executives and health systems should do when looking to implement AI.

“No. 1 is getting the right application of the AI and at the right pace,” Prabhu said.

Despite the hype around AI and many experts thinking they can apply the technology to virtually anything, Prabhu said it’s important to recognize the right applications.

For example, health systems might not want to apply AI when the patient’s life is dependent on it, he suggested. Instead, he said AI can be applied for a patient’s communication preferences and patterns.

The second thing is to walk before you run.

“You don’t want to get into too much AI too fast where you are going to create chaos, confusion or dissatisfaction from the patient and provider,” Prabhu said.

Health systems should start slowly with the implementation of AI to test the waters. That way, both the providers and the patients are more familiar with the power of the technology and how it will be implemented into the provider’s workflow and how it will be used to improve the patient’s outcomes.

Get the best insights in digital health directly to your inbox.

Related
Why Health Systems Should Build Their Own AI Models
Where Health Systems Are with AI Algorithms
AI Models ID Advanced Depression

SHARE THIS SHARE THIS
39
Become a contributor