The team developed two AI models trained on a dataset of 200,000 ICU stays, according to a Jan. 26 Johns Hopkins news release. The first static model predicted ICU delirium risk based on factors such as age, the severity of illness, current medications and other diagnoses.
The second dynamic model predicts delirium risk over the coming 12 hours through monitoring a patient’s pulse, blood pressure and temperature readings.
When tested on data sets from a Boston hospital covering more than 100,000 ICU visits, the static model accurately predicted delirium 78.5 percent of the time, and the dynamic model was accurate 90 percent of the time, the release s
Becker’s 3rd Annual Fall Chief Pharmacy Officer Summit is the top tier event that the people leading the future of pharmacy convene. This 3-day event is built specifically for Chief Pharmacy Officers and senior pharmacy leaders. The sessions examine the workforce, financial and clinical priorities shaping pharmacy today. Becker’s is where candid discussions flourish and new ideas thrive. Becker's 3rd Annual Fall Chief Pharmacy Officer Summit
