News Room

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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American teenagers start their school day too early.

Medical experts have been clear for years: sleep cycle changes during puberty make it hard for teenagers to learn in the early morning. Later school start times have been linked to better sleep, improved mental health, stronger academic performance and even safer driving.

Most school district leaders know about this problem and care about fixing it. But changing the schedule can feel operationally impossible.

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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
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INFORMS
Catonsville, MD
[email protected]
443-757-3565

INFORMS in the News

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Controlling The Coronavirus Is Not A Medical Problem

Controlling The Coronavirus Is Not A Medical Problem

Forbes, March 18, 2020

In research that I undertook with my colleagues from Yale University and the University of Texas, we took a deep dive into the decision making of the World Health Organization (WHO) during the Ebola outbreak of 2014–2016. We wanted to compare and contrast its actions against those of Doctors Without Borders over the same period to determine when public health officials should raise the alarm about a global health emergency. Even though the clinical characteristics of the coronavirus are different from those of Ebola, the way public health authorities currently approach and frame the problem of controlling the current epidemic seem quite similar. This should concern us.  

Why the WHO Was Afraid of Crying ‘Pandemic’

Why the WHO Was Afraid of Crying ‘Pandemic’

Yale Insights, March 17, 2020

The World Health Organization has been criticized for being slow to declare a public health emergency and a pandemic as COVID-19 spread. Yale SOM’s Saed Alizamir, with Francis de Véricourt of ESMT and Shouqiang Wang of the University of Texas at Dallas, recently published a study that uses game theory to play out the tradeoffs that the WHO and other public agencies face as they try to give timely warnings while maintaining their credibility. We asked them what their findings say about the response to COVID-19.

Engineers Offer DIY Solutions to Coronavirus Equipment Shortages

Engineers Offer DIY Solutions to Coronavirus Equipment Shortages

Scientific American, April 20, 2020

The world is in desperate need of protective gear to keep health care workers safe and ventilators to help severely ill COVID-19 patients breathe. In the face of massively increased demand and stalled supply chains, engineers are scrambling to redesign equipment so it can be produced outside of specialized factories.

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Healthcare

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INFORMS Magazines

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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