The INFORMS Analytics+ Conference showcased how companies are turning advanced analytics and AI into measurable operational results
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.
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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When Joe Biden was a US presidential candidate in 2019, he tweeted, “Trump doesn’t get the basics. He thinks his tariffs are being paid by China. Any freshman econ student could tell you that the American people are paying his tariffs.”
In June 2019, then-presidential candidate Joe Biden tweeted: “Trump doesn’t get the basics. He thinks his tariffs are being paid by China. Any freshman econ student could tell you that the American people are paying his tariffs.”
In June 2019, then-presidential candidate Joe Biden tweeted: “Trump doesn’t get the basics. He thinks his tariffs are being paid by China. Any freshman econ student could tell you that the American people are paying his tariffs.”
In the current era of artificial intelligence (AI) reshaping industries worldwide, integrating AI in healthcare, public policy, and business is paramount. Dr. Soroush Saghafian, the visionary founder and director of the Public Impact Analytics Science Lab (PIAS-Lab) at Harvard, is a key figure at this intersection. His pioneering work as a Harvard professor involves developing, integrating, and using appropriate analytical tools in operations research, management science, machine learning and big data, decision-making, statistics, AI, and related fields has profoundly impacted societal outcomes.
Large language models (LLMs) have brought about advances in artificial intelligence that few researchers thought possible before, at least so soon. ChatGPT set records for its fastest-growing user base in internet history a mere two months after its release to the public. Now there’s frequent talk about the inevitability of artificial general intelligence, where machines have the same types of abilities as humans. Before we get too excited though, we must be mindful of both what LLMs can’t do and what they do that is undesirable.
OR/MS Today is the INFORMS member magazine that shares the latest research and best practices in operations research, analytics and the management sciences.
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Analytics magazine showcases articles and research reports based on big data, AI, machine learning, data analytics and other new-age technologies.
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