As the integration of AI is expected to rapidly increase in healthcare, Mike Thompson, vice president of enterprise data intelligence at Cedars-Sinai, said there needs to be a checks and balances system from innovators, healthcare institutions and regulatory entities.
"As technology advances, the medical community will need to develop standards for these innovative technologies, as well as revisit current regulatory systems on which physicians and patients rely to ensure that healthcare AI is responsible, evidence-based, bias-free, and designed and deployed to promote equity," Mr. Thompson said in an Oct. 25 news release from Cedars-Sinai.
In order to mitigate some of AI's biases, the Los Angeles-based health system has maintained the belief that crucial AI algorithms should enhance the expertise of individuals, rather than substitute them. Therefore, Cedars-Sinai emphasizes the importance of involving a "human in the loop" to assess recommendations as a key strategy for addressing bias.
Cedars-Sinai has also established a structured framework to guide the ethical advancement and application of AI. This set of guidelines and policies is crafted to guarantee that the progress of AI in the field of medicine is advantageous for patients, healthcare practitioners and the broader healthcare sector.
The framework also promotes the need for responsible professional supervision to ensure the safe, efficient and fair utilization of AI.