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A recent success story with an FQHC provides further evidence that AI-driven tools can aid in decision-making, reduce human error, and enhance patient care, according to Chani Cordero. However, it also “raises important questions about the ethical implications of AI use in healthcare.”
The benefits offered by tools like ChatGPT and quantum computing are limitless; unfortunately, so are the risks, according to Dr. Tomislav Mustac. “We need immediate recognition and awareness of the dark side, as well as a clear path to contain the beast while it’s in its adolescence.”
Does the industry really need another set of guidelines for implementing AI in healthcare? Yes, said Dr. John Halamka, noting that the latest publication from CHAI offers “a holistic approach to assessments of AI-based clinical systems for health systems, consumers, and end users,” he wrote in a recent piece, along with Paul Cerrato.
When it comes to critical areas like cybersecurity, patient outcomes, and data insights, “we keep talking about the problems and opportunities but aren’t putting enough focus on moving the needle,” according to Brad Reimer, CIO at Sanford Health, who offered his thoughts in a recent blog.
Without the proper controls in place, AI-enabled algorithms can do more harm than good, according to researchers from Mayo Clinic Platform. In this piece, they explore how the new NIST framework can help leaders more accurately assess AI trustworthiness, explainability, and bias.
