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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Over 30 million adults have opted to take a pass on the COVID-19 vaccines, including around 3 million people over 65 years-old. They are exercising their personal choice to remain unprotected against the virus through vaccination, choosing to accept the associated risks.
Pfizer/BioNTech and Moderna have both begun clinical trials with an omicron-specific vaccine. Sounds good in theory, given that the majority of infections in the United States are with the omicron variant. However, there are numerous reason why such a product will not provide any additional benefits beyond the vaccines that are already available.
A family member became seriously ill last year. After some initial tests, a malignancy was diagnosed. Surgery was scheduled, followed by chemotherapy. Everything proceeded mostly as planned, with no medical hiccups. We are both well-educated, with backgrounds in medicine, health economics and risk analysis, which should have prepared us to maneuver the requirements of our health insurance provider and ensure that copays and pre- authorizations were handled as necessary. We were gravely mistaken.
Surprisingly, a new study has found that if you’re perceived as more popular on a mobile dating app, there is a higher chance that other users will avoid connecting with you. This is one of the major findings of a study that sought to examine the effect of a dating app user’s popularity rating on their demand on the online dating platform.
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