The Health Care Data Guide

This course provides a deep dive into advanced methods for analyzing variation in healthcare data, with a focus on Shewhart charts and related statistical techniques. You’ll learn how to interpret both continuous and attribute data, and master advanced visualization tools such as Pareto and scatterplots, which are essential for understanding data variation. Through the course, learners will gain the skills needed to address common challenges in chart interpretation, apply adaptations of Shewhart-type charts, and use specialized techniques for analyzing complex data scenarios. Emphasis is placed on practical application, ensuring that you can translate statistical insights into quality improvement strategies for healthcare settings. What sets this course apart is its combination of theory and hands-on practice. The course covers key issues faced by professionals in real-world healthcare settings and provides tools for uncovering actionable insights from aggregate data to improve care. Healthcare professionals involved in data analysis and quality improvement will benefit from this course. A basic understanding of healthcare data and statistical methods is recommended but not required. 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. Copyright © 2022 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.

This course teaches healthcare professionals how to apply data analysis to enhance leadership decision-making and patient care. Through the study of Shewhart charts, patient feedback, and epidemic data, learners will develop the skills to interpret and act on data insights to improve both patient outcomes and organizational performance. The course will help learners master the use of Shewhart charts for individual patient data, understand how patient feedback can guide care improvements, and explore specialized applications like epidemic monitoring. By focusing on real-world case studies and practical techniques, this course prepares professionals to apply data analysis effectively in clinical and leadership contexts. What sets this course apart is its focus on applying advanced data analysis techniques directly to healthcare leadership and patient care. With a mix of theory and practical applications, you will be able to translate data insights into impactful quality improvement initiatives. Healthcare leaders, managers, and professionals in patient care who want to use data-driven strategies to improve their organizations will benefit most from this course. A foundational understanding of healthcare data is helpful but not necessary. 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. Copyright © 2022 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.