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The INFORMS Analytics+ Conference showcased how companies are turning advanced analytics and AI into measurable operational results

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In most emergency departments, beds are a hot commodity. But some patients don’t actually need a bed for their treatment – and accurately identifying those people is a low-lift but effective way to increase efficiency without sacrificing care quality, finds a study recently published in the journal Management Science.

The researchers developed a simple decision tree, informed by mathematical and machine learning models, to help staff decide whether a patient truly needs a bed or can be routed to a “vertical processing pathway” – that is, an area where they can be treated sitting up. Many hospitals already have such an area but don’t necessarily have a systematic way to decide which patients are treated there.

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Diversity alone won’t get the votes for funding public education. It takes communities that are more integrated and connected, where residents have a sense of shared stake.

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Closing the Racial Gap in CRC: Screening is Just the First Step

Closing the Racial Gap in CRC: Screening is Just the First Step

Healthcare Business Today, September 8, 2024

Too many people in the United States are dying of colorectal cancer (CRC). The #2 cancer killer in the United States, it impacts Black Americans disproportionately. Compared to White adults, Black adults aged 50 and above get colon cancer at a rate that’s 23% higher than White adults and have a 31% higher risk of dying from the disease.1 These disparities persist despite progress in screening and treatment and are particularly frustrating because CRC is highly treatable when caught in early stages and even preventable when pre-cancers are identified and removed through screening. These differences in incidence and mortality persist even while we have made progress to make screening more accessible to all. A 2019 NIH study showed that a similar proportion of Black and White Americans are up to date with CRC screening2, a meaningful improvement since 20053. If screening access and uptake are now so similar, why do these disparities persist?  

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