This course explores how predictive analytics can transform healthcare by shifting from a reactive to a proactive approach in managing patient outcomes. Learners will dive into predictive tools and strategies, enhancing their ability to drive significant improvements in healthcare safety and quality.

Through the course, students will learn how advanced caring theories, combined with predictive analytics, can lead to better healthcare processes, more insightful data-driven decisions, and improved patient care. The course offers practical techniques for leveraging data to optimize healthcare delivery. What makes this course unique is its practical approach that blends advanced theoretical frameworks with actionable real-world applications. You’ll gain the skills to apply predictive analytics to improve healthcare outcomes, reduce falls, and enhance patient safety. This course is ideal for healthcare professionals, data scientists, and organizational leaders seeking to use predictive analytics for improving patient safety and operational efficiency. A basic understanding of healthcare and data analytics is recommended. This course is part one of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization, called: Using Predictive Analytics to Improve Healthcare Outcomes. Copyright © 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. Advice on how to obtain permission to reuse material from this title is available at http://www.wiley.com/go/permissions. 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.