Introduce AI to resolve problems, not sell technology, advises AI leader at one of the world's largest healthcare organizations.
How does one take the reins of AI initiatives when 85,000 employees with a wide range of skills are involved? Proceed carefully to see what works, then step on the gas if an AI application looks promising., president of the Mayo Clinic Platform, who recently shared advice with current and aspiring AI leaders in two interviews published in MIT Sloan Management Review on“We say start small, think big, and move fast,” Halamka related.
Halamka advised AI proponents to exercise caution in selecting initial use cases. “Go with with lower risk, try the technology, see where it works and not,” he said. “At the moment, genAI isn’t really ready to handle a customer without a person somewhere nearby watching the results. Because the way genAI works, you can’t quite know whether the output will be high quality, consistent or reliable.
Look beyond traditional measures or thinking when it comes to seeking use cases for AI. Values need to be aligned, he urged. “I ask clinicians, ‘do you want more AI?’ They say, ‘well no, what I want is to get home for dinner. I want a quality of proactive life, so I can practice on top of my license.’”Halamka’s response is “I can bring you AI which can do ambient listening, write your charts for you, fill out your forms, and get you home earlier.
For business or team leaders, the greatest challenge has been separating hype from reality, he added. “We’re at the peak of the hype curve for many aspects of genAI, but people are realizing it’s not going to solve every problem. It may not have the safety and equality and reliability we want. So being able to navigate that tension: I want to embrace innovation, I want to be a market leader, but I also want to be a little careful not to over-rely on overhyped technology.
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