Healthcare must set guardrails around AI for transparency and safety

Healthcare must set guardrails around AI for transparency and safety

Four in 10 patients perceive implicit bias in their physicians, according to a MITRE-Harris survey on the patient experience. In addition to patients being extra sensitive to provider bias, the use of AI tools and machine learning models also have been shown to skew toward racial bias.

On a related note, a recent study found 60% of Americans would be uncomfortable with providers relying on AI for their healthcare. But between provider shortages, shrinking reimbursements and increasing patient demands, in time providers might have no option but to turn to AI tools.

Healthcare IT News sat down with Jean-Claude Saghbini, an AI expert and chief technology officer at Lumeris, a value-based care technology and services company, to discuss these concerns surrounding AI in healthcare – and what provider organization health IT leaders and clinicians can do about them.
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