Bolster
your facility's hospital-acquired pressure injury preventative methods and
quality improvement plans through machine learning!
William
Padula, PhD hosts the webinar, "Using Machine Learning to Predict Pressure
Injury Risk in Hospitalized Patients", educating attendees on how
electronic health records (EHRs) provide the ability to predict the risk of
hospital-derived pressure injuries.
Objectives:
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
Learn how to conserve
hospital resources during periods of patient vulnerability, preventing
excess costs and lowering patient PI risk
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