Using Machine Learning to Predict Pressure Injury Risk in Hospitalized Patients

This webinar will be recorded live on August 28th, 2024. A recording of the webinar will be available within 24 hours of the live event.

Bolster your facility's hospital-acquired pressure injury preventative methods and quality improvement plans through machine learning! Tune into NPIAP's August webinar for an engaging presentation led by Dr. William Padula on his findings regarding electronic health records (EHRs) and their ability to predict the risk of hospital-derived pressure injuries. Help your hospital conserve resources, decrease labor hours, prevent pressure injuries, and maintain positive patient outcomes through this transformative conversation!

• Identify predictive machine-learning applications for preventative medicine and pressure injury prevention
• Examine findings of peer-reviewed literature, providing strategies to improve your hospital's overall quality of care
• Discuss how to conserve hospital resources during periods of patient vulnerability, preventing excess costs and lowering patient PI risk