Analytics in Healthcare A Practical Introduction

This book offers a practical introduction to healthcare analytics that does not require a background in data science or statistics. It presents the basics of data, analytics and tools and includes multiple examples of their applications in the field. The

  • PDF / 4,976,694 Bytes
  • 113 Pages / 439.43 x 666.14 pts Page_size
  • 23 Downloads / 363 Views

DOWNLOAD

REPORT


Christo El Morr Hossam Ali-Hassan

Analytics in Healthcare A Practical Introduction

123

SpringerBriefs in Health Care Management and Economics Series editor Joseph K. Tan, McMaster University, Burlington, ON, Canada

More information about this series at http://www.springer.com/series/10293

Christo El Morr • Hossam Ali-Hassan

Analytics in Healthcare A Practical Introduction

Christo El Morr School of Health Policy and Management York University Toronto, ON, Canada

Hossam Ali-Hassan Department of International Studies Glendon College, York University Toronto, ON, Canada

ISSN 2193-1704     ISSN 2193-1712 (electronic) SpringerBriefs in Health Care Management and Economics ISBN 978-3-030-04505-0    ISBN 978-3-030-04506-7 (eBook) https://doi.org/10.1007/978-3-030-04506-7 Library of Congress Control Number: 2018967216 © The Author(s), under exclusive license to Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

For Valentina and Alexi and For Hala, Liane, and Yasma

Preface

This book offers a practical guide to analytics in healthcare. The book does not go into details of the mathematics behind analytics; instead it explains the main types of analytics and the basic statistical tools used for analytics and gives an illustration of how algorithms work by providing one example for each type of analytics. This allows the readers, such as students, health managers, data analysts, nurses, and doctors, to understand the analytics background, their types, and the kind of problems they solve and how they solve them, without going into the mathematics behind the scene. Analytics in Healthcare: A Practical Introduction is divided into six chapters. Chapter 1 is a