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David C. Classen on Muck Rack

David C. Classen

Salt Lake City
As seen in: Nature, JAMA (The Journal of the American Medical Association), JAMA Internal Medicine Author Interviews, JAMA: Journal of the American Medical Association, JAMA Health Forum Conversations, The Salt Lake Tribune, Pediatrics, Health Affairs, Annals of Internal Medicine, Texas Medical Center
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Articles

Voices: Without better wildfire mitigation, SLC risks becoming the next LA

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By David C. Classen, Ian B. McCubbin, David J Goldsmith
| The Salt Lake Tribune Verified
In recent years, residents of the western United States have watched helplessly as wildfire after wildfire tears through communities once thought immune. Los Angeles, once associated primarily with palm trees and Hollywood glamour, now finds itself infamous for orange skies, air thick with ash and urban neighborhoods turned to charred ruins. The threat is no longer confined to remote forests. It has reached into city limits. And Salt Lake City, nestled against the Wasatch Front, may be next.
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Maximizing the Ability of Health IT and AI to Improve Patient Safety

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By Dean F Sittig, David C. Classen, Andrew A. Gonzalez
| JAMA Internal Medicine Author Interviews
Maximizing the Ability of Health IT and AI to Improve Patient Safety Twenty-five years after the landmark patient safety report "To Err is Human" was published, only marginal improvements have been realized.1 However, recent policy efforts have emerged to transform patient safety, including recommendations from the President’s Council of Advisors on Science and Technology, a new structural measure of patient safety from the Centers for Medicare & Medicaid Services (CMS), and bipartisan...
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Addressing AI Algorithmic Bias in Health Care

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By Jessica E. Galarraga, Raj M. Ratwani, David C. Classen, Christopher A. Longhurst
| JAMA: Journal of the American Medical Association Verified
Addressing AI Algorithmic Bias in Health Care As artificial intelligence (AI) algorithms become an increasingly integral part of health care, ranging from diagnostic decisions and treatment plans to population health management, it is vital that rigorous processes to mitigate algorithmic bias are established.1,2 Addressing bias is not only about ensuring fair and just opportunities for optimal health outcomes but also about promoting universal safeguards for patient safety.
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