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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

INFORMS in the News

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Data will not bridge the COVID-19 vaccine political abyss

Data will not bridge the COVID-19 vaccine political abyss

The Hill, August 3, 2021

The Centers for Disease Control and Prevention (CDC) disseminates reams of data on COVID-19, including the number of confirmed infections, the number of deaths, the number of people vaccinated, breakthrough infections, and much more. As the delta variant spreads, solidifying its hold as the dominant variant in circulation, government and health officials’ pleas for people to be vaccinated ring louder with each passing day. 

Innovative Health Care Delivery: The Scientific and Regulatory Challenges in Designing mHealth Interventions

Innovative Health Care Delivery: The Scientific and Regulatory Challenges in Designing mHealth Interventions

National Academy of Medicine, August 2, 2021

Scientists looking for innovative ways to deliver healthcare have long searched for mechanisms that can enable the right intervention to be delivered at the right time. Traditional delivery mechanisms have been limited both to the availability of a provider (e.g., a physician) and the location of care (e.g., a hospital or outpatient clinic). In recent years, however, numerous technological advancements—including wearable devices, mobile technologies, and the widespread development and use of user-friendly smartphone applications—have resulted in significant changes in how care is delivered. For example, mobile Health (mHealth) technologies are now commonly used to deliver interventions in a self-service and personalized manner, reducing the demands on providers and lifting limitations on the locations in which care can be delivered. Successful examples of mHealth interventions include programs to:

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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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