Healthcare leaders should not think about technology first and the allure of AI, says Sutter Health's Kiran Mysore.
Sutter Health’s AI leader says clinicians may be too optimistic about what the technology can do, and they need to understand that there are right and wrong ways to use AI.
“AI is very complex,” says Kiran Mysore, MS, chief data and analytics officer at the northern California health system and a participant in the HealthLeaders Mastermind program on AI in clinical care. “It is rarely a turn-key solution, where you adopt a model and expect it to work.”
“It needs a lot of good, clean data. It needs a lot of talented and skilled professionals to make it work the right way,” he says. “It needs the right workflow integration, and it should impact the point of care. And it needs to be trusted and dependable, which means you must tune the models well so they can predict the right answers.”
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Christopher Cheney is the CMO editor at HealthLeaders.
KEY TAKEAWAYS
Healthcare leaders need to be very specific about the outcome they want to drive with AI.
An AI model is rarely a turn-key solution, where you adopt the model and expect it to work.
Talk with other healthcare organizations that have adopted AI models to learn from them, so you can capitalize on opportunities and avoid making mistakes.