Using Predictive Analytics to Improve Healthcare Outcomes
About this course
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. © 2021 John Wiley & Sons, Inc. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by law. The right of John W. Nelson, Jayne Felgen, and Mary Ann Hozak to be identified as the authors of the editorial material in this work has been asserted in accordance with law. This specialization is based on the book, Using Predictive Analytics to Improve Healthcare Outcomes, by John W. Nelson, Jayne Felgen, and Mary Ann Hozak .
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What you'll learn
- Recognize and reduce patient falls using the Profile of Caring framework
- Forecast patient experiences and streamline hospital stay lengths
- Identify risk profiles for early heart failure readmission
- Evaluate different healthcare delivery models in various international contexts
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