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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In the days since the Oct. 7 surprise attack by Hamas, Israel has counted its dead and secured its borders. The country now faces a grim choice.
The 2023-24 NHL hockey season is now underway. With every team’s eye on winning the Stanley Cup, the biggest task faced by general managers is assembling a winning team. Yet to do this requires imagination to circumvent the salary cap that every team must abide by.
American female workers, as of 2021, were making about 83.1% of the pay of men. And at the rate of recent progress, it would take another 40 years for women, averaging across races, to reach parity.
It would probably require far more than a one-off, short-term military operation, and a wider campaign presents a host of challenges.
Artificial intelligence has the ability to revolutionize human health. It is used to detect potentially cancerous lesions in medical images, to screen for eye disease, and to predict whether a patient in the intensive care unit could have a brain-damaging seizure. Even your smartwatch has AI built into it; it can estimate your heart rate and detect whether you have atrial fibrillation. But how good are these algorithms generally? The truth is, we just don’t know.
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