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.
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.
An audio journey of how data and analytics save lives, save money and solve problems.
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My view of the world is shaped by where I stand, but from this spot the future of analytics for 2016 looks pretty exciting! Analytics has never been more needed or interesting.
Analytics continues to bring dramatic change to the healthcare industry in the United States and other countries, offering advances and challenges for the year ahead. Following are 10 trends to chart in 2016.
David Simchi-Levi, MIT Professor, INFORMS Fellow and Former Editor-in-Chief of Operations Research (INFORMS Journal)
The ability to understand a combination of historical behavior, market conditions and future needs drives decision making. New analytic capabilities that combine machine learning and optimization can take into account historical characteristics and competitor behavior to determine future demand that will allow optimization for the best results - such as profit, market share or revenue.
Examples of decisions where this approach can be used is assortment, pricing, sourcing strategies for new products, predictive maintenance using process sensors.
CATONSVILLE, MD, December 21, 2015 – Small price differences at the point of purchase can be highly effective in shifting consumer demand from high calorie to healthier low calorie alternatives, according to a study in the Articles in Advance section of Marketing Science, a journal of the Institute for Operations Research and the Management Sciences (INFORMS).
During WWII, academics developed “Operations Research” techniques involving statistics and linear programming to hunt enemy submarines, supply troops on the ground and deliver ordnance to targets. Soon after the war ended, Operations Research academics began to apply their methodologies to investing. In 1952 Harry Markowitz, a graduate student at the University of Chicago, published a paper on portfolio selection in the Journal of Finance. Markowitz’s quantitative approach to investment theory was radically different from the conventional stock market wisdom at the time, which focused on picking winning stocks and concentrating stock holdings to maximize return. Investors knew that holding stocks meant taking risks, and they were led to believe that the only way to reduce risk was to become more competent at picking stocks. Some investors were following the advice of Gerald M. Loeb, the co-founder of brokerage firm E.F. Hutton, who wrote “once you obtain competency, diversification is undesirable.” Markowitz’s work along with others gave birth to what is now known as Modern Portfolio Theory (MPT). MPT provided investors quantitative ways to reduce risk and optimize their return.
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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