UCLA Health: overcoming racial bias in predictive algorithms
Algorithmic bias—what it is, who it impacts, what it causes, and how it is best overcome—is a topic of increasing interest in healthcare.
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Algorithmic bias—what it is, who it impacts, what it causes, and how it is best overcome—is a topic of increasing interest in healthcare.
continue readingThe field of machine learning (ML), a subset of artificial intelligence in which computer algorithms use statistics to find patterns in data that can predict future outcomes, is undergoing rapid...
continue readingThe imperative to collaborate to achieve common goals has long defined human interactions. Initially, this imperative was rooted in survival, but working in partnership is no less important today...
continue readingNASHVILLE, Tenn., October 16, 2020—In response to the Centers for Medicare & Medicaid Services announcement of its new Primary Cares Initiative, Ursa Health has released a version of Ursa Studio,...
continue readingMany JavaScript developers approach dealing with dates and timezone issues with apprehension. And indeed, it’s easy to get turned in a knot as you’re trying to get times working sensibly for all...
continue readingToo often, introducing a new data model and analytics platform to your organization requires a massive time and resource investment before a team is able to create anything of value. We’ve been...
continue readingEarly in my career, I was thinking of getting an MBA and attended an introductory lecture at Boston University. I don’t remember which professor gave it, but I’ve thought of his words often over...
continue readingImprovement science, like many quality-related disciplines, is rooted in the work of W. Edwards Deming, the 20th century management expert famous for his 14-point management philosophy and...
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