Michigan Health Lab’s 5 Most Viewed Stories May Surprise You
From bathroom breaks to physician fashion trends, some interesting stories continue to rise to the top of readers’ searches.
Michigan Medicine
As with any anniversary, a trip down memory lane is necessary, if not required.
After digging through troves of articles over the last five years on the
Michigan Health Lab blog, ranging from health technology and industry news, to new studies, clinical updates and more, some reader favorites were hard to ignore.
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Michigan Health Lab Turns 5
A thank you to the readers, and look back at the most read story of each year since our launch five years ago.
For the last five years, Michigan Medicine’s
Michigan Health Lab blog has brought you stories of groundbreaking research, innovative clinical trials, emerging health technologies, and new, life-saving procedures.
Since its launch, the blog has published over 1,700 posts. Its sister blog, the
Michigan Health blog, which is celebrating the same anniversary, has published over 1,500 posts.
Designed as a destination for everyone interested in the future of health care, the
Michigan Health Lab has provided a steady stream of cutting-edge research news since its launch.
RNA Research Brings Hope to Millions with Rare Diseases uofmhealth.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from uofmhealth.org Daily Mail and Mail on Sunday newspapers.
The estimate is based on a new analysis of out-of-pocket costs for influenza-related hospitalizations in 2018 that were paid by people with Medicare Advantage plans, which are Medicare plans run by private insurance companies.
University of Michigan develops algorithm that can help efficiently treat COVID-19 patients Mansur Shaheen | Dec 31, 2020
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Patient age, underlying health conditions and medication data are entered into the algorithm, as well as biometric information such as blood pressure. Heart rate and oxygen measurements are also calculated into the equation. Taking into account all these risk factors, the algorithm allows providers to predict risk levels that can be used to determine best treatments.
Researchers built the equation using data culled from the initial COVID-19 initial COVID-19 surge from March to May. A team at Michigan Medicine analyzed the metrics of patients who needed to be transferred from general care to intensive care during the initial surge to determine which variables had the strongest correlation to need for more strenuous care.