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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John Hopkins Carey Business School professor, Tinglong Dai, on the federal government’s announcement that they are allowing states to vaccinate anyone over 65 and those with preexisting conditions.
Clay Travis: “This was the most irresponsible single piece of journalism having to do with college football that was published anywhere in the country. CBS Sports should apologize to their entire audience because they wrote a piece based on University of Illinois computer science professional Sheldon Jacobson saying ‘I guarantee someone is going to die if they play a college football season.’ He also said the FBS level would see ‘3-7 deaths’. ‘A few of them could end up in a hospital and you’ll have a small number who could die. I don’t want to sugarcoat it for you, I just want to give you the facts’… IT DIDN’T HAPPEN.
The National Security Commission on Artificial Intelligence (NSCAI) has been busy in recent months, as it should be. The stakes are high when you look at the role artificial intelligence will play at nearly every level of national security in the years ahead. To underestimate the impact of AI on our nation’s safety and security is to do so at great risk. The biggest risk would be to neglect the recruitment, retention and training of elite human warfighters who will drive the successful deployment of AI. Like many in the fields of operations research, analytics, and data science, we have been closely following the work and recommendations of the NSCAI with a keen and specific eye as veterans.
A new study by Yale SOM’s Edward Kaplan and Scott Rodilitz, based on data from a long-running survey of migrants who have returned from the United States to Mexico, estimates that the number of undocumented immigrants in the United States is 19.6 million, far exceeding widely accepted estimates. Kaplan is the William N. and Marie A. Beach Professor of Operations Research, professor of public health, and professor of engineering; Rodilitz is a doctoral student in operations at Yale SOM. Their study appears in the journal Risk Analysis, the flagship publication of the Society for Risk Analysis.
Machine learning can be an effective tool to set competitive prices. Artificial intelligence has its limits on how to set the most effective prices due to variables beyond the seller's control. Over the long term supracompetitive pricing can result. Machine learning and artificial intelligence (AI) are perfectly suited to help companies and marketers monitor and set prices based on real-time dynamic pricing. But new research has identified some possible unintended consequences of AI in this area.
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