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.
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TALLAHASSEE — Years of concerns by government and policy officials over the use of fake images, audio and videos in election cycles got a spotlight this past week after Gov. Ron DeSantis' presidential campaign dabbled in manipulated media.
Every decision a Ukrainian farmer makes right now is life or death. Not only do they need to be aware of the risks of living and operating in a war zone, but also the life-and-death challenges of being able to provide food to people in dire need. People may well die if the food supplies continue to dwindle as a consequence of the Russian invasion of Ukraine.
Earlier this year, New York Times columnist Kevin Roose conducted a two-hour conversation with Microsoft’s popular new chatbot, “Bing Chat.” Although the “conversation” started innocently enough, before it was over, the chatbot would declare its affection for Roose, telling him, “You’re not happily married, because you’re not happy. You’re not happy, because you’re not in love. You’re not in love, because you’re not with me.”
Texas is growing accustomed to experiencing system-wide power grid disruptions. The first recent major event was winter storm Uri in February 2021, which left 4.5 million homes in the dark, cost $195 billion in property damage, and caused the deaths of over 50 people due to a combination of factors stemming from generation technology failure (natural gas, coal, nuclear, wind and solar), natural gas shortages, transmission and substation outages, frequency issues, planned generator outages, and a lack of reserve capacity.1 Despite this stark warning sign of a lack of power grid resilience, climate change, along with electrification, economic growth and other geopolitical drivers, has caused increasing uncertainty in business as usual for the Electric Reliability Council of Texas (ERCOT).
Cybersecurity data is notoriously unreliable. What should we look for when we want trustworthy insights?
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