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.
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Earlier this month, news circulated of some optimistic projections from a COVID-19 model made by the Institute for Health Metrics and Evaluation.
If colleges billed their students at the end of four years and didn't show us prices beforehand, it would wreck mass chaos. Or if airlines billed us at the end of flights and did not show us prices, it would lead to unstable markets. Both cases would enable price gouging and ultimately pricing failure. Our healthcare is designed around a similar consumerist regime and a global pandemic exposes the inequities of our healthcare system.
So far, Australia has been doing pretty well in the fight against COVID-19. Using a combination of social distancing, tight travel restrictions and contact tracing, the country has kept its death toll under 100 people and seems to be leveling off its new cases. It’s even managed to avoid closing schools. But despite the relatively minor impact the novel coronavirus has had on life in Australia, medical workers are still running low on masks, gloves and gowns.
Flexibility and patience will be key for all of us, as the U.S. and global economies reopen, post-COVID-19. According to Tinglong Dai, professor of Operations Management and Business Analytics at the Johns Hopkins Carey Business School, the post-recovery outlook will be progressive, and will entail a lot of back and forth, he says.
I am an industrial engineer who studies health systems and how people make decisions under uncertainty. Engineers like me build models precisely to understand events like the global coronavirus pandemic and its impact on the economy, the supply chain, our education system and our health system. While the popular press has discussed epidemiological models to help us understand how the disease spreads and when cases might peak, my area of modeling can help us make better decisions and better policy.
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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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