Overview
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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 .
Syllabus
- Course 1: Using Predictive Analytics for Healthcare Safety & Quality
- Course 2: Enhancing Patient Experience with Predictive Analytics
- Course 3: Global Healthcare Outcomes: Theory & Research Models
Courses
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In this course, you will learn how to leverage predictive analytics to improve patient experience in healthcare settings. The course focuses on utilizing data to forecast patient experiences beyond traditional satisfaction scores, helping you make informed decisions that enhance patient care and outcomes. You will explore how to analyze hospital-based palliative care programs to reduce patient length of stay, identify risk profiles to minimize early readmissions, and evaluate key metrics in multi-institutional healthcare systems. This course empowers healthcare professionals to apply real-world analytics to improve patient outcomes. What sets this course apart is its practical approach—combining predictive models with actionable insights to drive improvement in healthcare. Through real-world examples, you will gain the knowledge needed to impact patient care on a meaningful level. This course is designed for healthcare professionals, data analysts, and managers in hospital settings. A basic understanding of healthcare operations is recommended. This course is part two 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. © 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.
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This course offers a comprehensive approach to improving healthcare outcomes through theoretical models and research applications. You will explore various strategies designed to enhance patient comfort, recovery, and job satisfaction within healthcare systems. With a focus on real-world challenges, this course will guide you through developing actionable models for pain relief, opioid use recovery, and job satisfaction in nursing. You will gain hands-on experience in designing and launching international research initiatives, applying theoretical models to practical healthcare challenges, and measuring their effectiveness. By the end of the course, you’ll be equipped with the tools to create meaningful improvements in healthcare delivery. What sets this course apart is its combination of theory and real-world applications, allowing you to apply research insights to improve healthcare systems on an international scale. This practical focus ensures you gain not just knowledge, but actionable skills to impact patient care and workforce satisfaction. This course is ideal for healthcare professionals, researchers, and policymakers looking to improve patient outcomes and workforce satisfaction in healthcare settings. Prior experience in healthcare management or nursing is recommended. This course is part three 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. © 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.
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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.
Taught by
Wiley-Expert Edge Course Instructors