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1:19
CMS Data Analytics Increasing Scrutiny of MDS Coding Patterns
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Use Claude and Webflow's new Connector to manage your CMS content.
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Health Spending to Hit $9 Trillion By 2034 #healthspending #economy #medicare
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Who would win in a fight? Man vs chimpanzee, a primatologist weighs in. Correction: I should have said that fists are “a“ primary weapon, not “the” primary weapon. An analysis of human kicking and grappling is key but that’s for a later video. Clarification: this video details the biology of several chimp advantages, but I don’t say that this conclusively means chimps would win, nor that this MMA fighter would lose. Folks missed this. Science is about using data to make predictions, and the more
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How Netflix Streams to 300M Users! 🍿⚡ Most people think Netflix streams movies directly from massive cloud data centers. However, sending heavy video files from central server farms across the ocean would crash the internet and cause constant buffering. To solve this, Netflix splits its system into two separate parts: a cloud
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Introducing Build Wisconsin Better. This is a nonpartisan effort to help Wisconsinites decide the future of Wisconsin, not Big Tech. If you need help navigating a hyperscale AI data center development in your town, want to offer communities your skills, have information to share or beer to share check out BuildWisconsinBetter.org Together we can help Wisconsin keep ‘er movin’. Ok tell your folks I says hi 👋
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On August 14, four patients at Ascension Saint Thomas Midtown in Nashville received potassium phosphate instead of mepivacaine during spinal anesthesia for joint replacement surgery. I read the full 80-page federal inspection report so you don't have to. This part covers what happened, what the medication mix-up actually was, and why the hospital pharmacy was preparing spinal syringes in the first place. Federal surveyors issued three Immediate Jeopardy findings — the most serious citation CMS h
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drzackmd
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Here’s everything you need to know 👇 I developed a machine learning model with @Eight Sleep and we just released it today 1️⃣ What data was it built on? This model was built on the largest raw biosignal dataset ever used to train an AI, from any device, including every wearable on the market. 2.04 million hours 136,575 participants 498k sessions 122 million segments 2️⃣ What can it predict? It can predict your biological age (the age your body acts like) within 3.3 years. It also predicts heart
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