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.