• Media type: E-Book
  • Title: Analytics in healthcare and the life sciences : strategies, implementation methods, and best practices
  • Contributor: McNeill, Dwight [MitwirkendeR]; Davenport, Thomas H [MitwirkendeR]
  • imprint: Upper Saddle River, N.J.: Pearson, 2013, c2014
  • Extent: 1 online resource (1 v.); ill
  • Language: English
  • ISBN: 9780133407341; 0133407349
  • Keywords: Health services administration ; Data processing ; Information storage and retrieval systems ; Medical care ; Medical records ; Management ; Business intelligence ; Electronic books ; Electronic books ; local
  • Origination:
  • Footnote: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed Dec. 3, 2013)
  • Description: Make healthcare analytics work: leverage its powerful opportunities for improving outcomes, cost, and efficiency.This book gives you thepractical frameworks, strategies, tactics, and case studies you need to go beyond talk to action. The contributing healthcare analytics innovators survey the field's current state, present start-to-finish guidance for planning and implementation, and help decision-makers prepare for tomorrow's advances. They present in-depth case studies revealing how leading organizations have organized and executed analytic strategies that work, and fully cover the primary applications of analytics in all three sectors of the healthcare ecosystem: Provider, Payer, and Life Sciences. Co-published with the International Institute for Analytics (IIA), this book features the combined expertise of IIA's team of leading health analytics practitioners and researchers. Each chapter is written by a member of the IIA faculty, and bridges the latest research findings with proven best practices. This book will be valuable to professionals and decision-makers throughout the healthcare ecosystem, including provider organization clinicians and managers; life sciences researchers and practitioners; and informaticists, actuaries, and managers at payer organizations. It will also be valuable in diverse analytics, operations, and IT courses in business, engineering, and healthcare certificate programs.