Using Neural Networks to Predict Multidrug-resistant Organisms

Alan Gross, PharmD, BCPS-AQID, Clinical Assistant Professor, Pharmacy Practice, University of Illinois at Chicago, College of Pharmacy, explains how a neural network might help identify patients who are at increased risk for multidrug-resistant organisms. Dr. Gross shares that through the use of more electronic health records, along with the integration of neural networks and other clinical decision support software, it will be easier to identify patients at high risk of having a resistant pathogen. However, Dr. Gross points out that this is an area that’s still in development.