How to help C-suite leaders and clinicians trust artificial intelligence
Many health IT decision-makers and clinicians are cynical about the potential for artificial intelligence solutions to improve healthcare, particularly in the wake of high-profile setbacks and continued frustration at care recommendations that seem to come from a black box of technological machinations with little transparency or context.
It seems to boil down to a matter of trust: AI developers need to prove the technology's promise to healthcare end users, many of whom are still (often rightly) skeptical about algorithms' shortcomings.
Healthcare IT News decided to dig into the trust factor of AI by interviewing Punit Soni, CEO of Suki, a vendor of AI-powered voice solutions for clinicians.
Soni discusses how transparency is paramount with AI, how iteration is key for getting customers on board, how AI technologies should learn from their customers how voice is one area where AI can have an immediate impact and how health system leaders need to be brought on board.