Advanced Methods for Analyzing Variation in Healthcare Data

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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.

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