This specialization is a three-course learning pathway that teaches the use of predictive analytics to improve healthcare outcomes.
The first course addresses reducing patient falls and improving safety through the Profile of Caring® framework. The second course delves into forecasting patient experiences beyond satisfaction scores, reducing hospital stay lengths, and identifying risk profiles for early heart failure readmissions. The final course explores international research on nurse job satisfaction, applying models globally, and evaluating the effectiveness of care delivery models across regions.
By completing this specialization, learners will develop the ability to apply predictive analytics to improve patient care, operational efficiency, and healthcare outcomes worldwide.
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This specialization is based on the book, Using Predictive Analytics to Improve Healthcare Outcomes, by John W. Nelson, Jayne Felgen, and Mary Ann Hozak .
Applied Learning Project
In this course, learners will tackle real-world challenges in healthcare, using predictive analytics and machine learning to improve patient outcomes and reduce readmissions. Through case studies and practical applications, learners will apply data-driven methods to enhance operational efficiency, providing tangible improvements in healthcare management.
