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.
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.
An audio journey of how data and analytics save lives, save money and solve problems.
Jeff Cohen
Chief Strategy Officer
INFORMS
Catonsville, MD
[email protected]
443-757-3565
Explore our resources for multiple topics including:
Three years after the pandemic brought Hollywood to a standstill, the film and TV industry has again ground to a halt
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace. We invite submissions with a focus on our favored technology topics areas: big data, data science, machine learning, AI and deep learning. Enjoy!
Supply chain interruptions and slowdowns linger as an effect of the pandemic. They make purchasing and acquisition difficult for both the private sector and government. Recently thinkers from IBM Center for the Business of Government, National Academy of Public Administration, and the Chamber of Commerce put their heads together to come up with ways governments can become more resilient on the supply chain front. Federal Drive with Tom Temin discussed all of this with Dan Chenok from the IBM Center and with Robert Handfield from North Carolina State University.
Disaster federalism, the intricate interplay between state, local, and federal governments in times of crisis, has long been hailed as the cornerstone of effective disaster response. Yet, three years after the catastrophic COVID-19 pandemic tested our nation’s resilience, we find ourselves grappling with a disheartening truth—there is still no clear path to improve this critical framework. In our new work we embark on a journey to unravel the enigma of disaster federalism and start a dialogue that challenges the status quo.
New research from the University of Florida highlights how retailers can increase sales by 3% if they show customers products from previous browsing sessions.
OR/MS Today is the INFORMS member magazine that shares the latest research and best practices in operations research, analytics and the management sciences.
Access OR/MS Today Magazine
Analytics magazine showcases articles and research reports based on big data, AI, machine learning, data analytics and other new-age technologies.
Access Analytics Magazine