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The scientists relied on a data set of 35,000 patients from Northwell Health and built an AI tool to help inform front-line staff on a patient’s prognosis and severity of the disease.
The research accounted for rapid changes in a patient’s condition and outcomes across different COVID-19 waves and the variants that caused them, along with the introduction of vaccines and other treatments. The five data points that were tracked related to a patient’s condition were: age, serum urea nitrogen, lactate, serum albumin and red cell distribution width. EHR data from inpatients hospitalized across 13 Northwell hospitals between April 2020 and May 2022 were analyzed.
Continue reading at fiercehealthcare.com
EHR innovation platforms that complement value-based care models could help address clinician burnout, according to preliminary findings from an American Academy of Family Physicians (AAFP) Innovation …
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