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A collection of press releases, audio content and media clips featuring INFORMS members and their research.

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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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It is a classroom with white walls and a chalkboard. Children sit at desks. A child with a green shirt and dark hair raises her hand.
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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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Resoundingly Human Podcast

An audio journey of how data and analytics save lives, save money and solve problems.

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Jeff Cohen
Chief Strategy Officer
INFORMS
Catonsville, MD
[email protected]
443-757-3565

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Spread of COVID-19 can be reduced by seating assignment

Spread of COVID-19 can be reduced by seating assignment

Big News Network, March 28, 2021

Maryland [US], March 28 (ANI): A new research conducted to minimise the risk of secondary infections aboard has used two models to help solve the airplane seating assignment problem because COVID-19 has been shown to spread on airplanes by infected passengers.

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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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