EMR Surveillance of Hospital-Acquired Pneumonia

Learn how to leverage electronic medical record data and Wolfram Language to develop scalable predictive models for identifying hospital-acquired pneumonia in clinical settings through this 27-minute presentation by Wolfram. Discover the methodology for using clinical criteria to detect hospital-acquired pneumonia from EMR data and explore how these predictive models can be effectively implemented in clinical trial environments. Gain insights into the intersection of healthcare informatics, machine learning, and clinical research as you examine real-world applications of computational tools in medical surveillance systems.