Foundations of Healthcare Data for Quality Improvement

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This course introduces healthcare professionals to the foundational principles of healthcare data analysis aimed at improving clinical outcomes. You’ll learn how to collect, analyze, and interpret data to make informed decisions that directly impact quality improvement in healthcare settings. By understanding how to define improvement goals, select relevant measures, and use various data types, you’ll be equipped to contribute to data-driven initiatives. This course covers the basics of data collection, operational definitions, sampling, and how to use run charts to identify and understand variations in clinical settings. Unlike traditional courses, this one combines theoretical knowledge with real-world applications to ensure that the tools and techniques you learn are practical and actionable. The course is structured to provide hands-on examples and interactive quizzes, ensuring you gain the skills to initiate and evaluate improvement efforts effectively. Healthcare professionals looking to improve their data literacy will benefit from this course. While no advanced experience is required, basic knowledge of healthcare operations and data is helpful. 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. 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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