While artificial intelligence and machine learning technologies are making a big impact in the health care industry, launching a project with the latest tech is a complicated, meticulous process.
A recent HealthITAnalytics report offers a look at some of the key steps toward implementing AI and machine learning technology in a health care project.
“Starting small can be a good thing when it comes to AI,” the article states. “Skepticism over the maturity and value of machine learning tools is still commonplace, so organizational champions will likely need to prove their point with a pilot or well-defined program before broader achieving acceptance.”
Presbyterian Healthcare Services Vice President of Data and Analytics Soyal Momin says it’s key to have clearly-defined goals and expectations when starting up a project.
“It’s very important to understand the parameters of what you’re doing, because as soon as you open up the candy shop, everyone is going to come to you and say, ‘I need this and this and that and this other thing on the side,'” Momin told HealthITAnalytics.