Healthcare Informatics

Author: Stephan P. Kudyba
Publisher: CRC Press
ISBN: 1498746373
Format: PDF, Docs
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Healthcare Informatics: Improving Efficiency through Technology, Analytics, and Management supplies an understanding of the different types of healthcare service providers, corresponding information technologies, analytic methods, and data issues that play a vital role in transforming the healthcare industry. All of these elements are reshaping the various activities such as workflow and processes of hospitals, healthcare systems, ACOs, and patient analytics, including hot spotting, risk stratification, and treatment effectiveness. A follow-up to Healthcare Informatics: Improving Efficiency and Productivity, this latest book includes new content that examines the evolution of Big Data and how it is revolutionizing the healthcare industry. It presents strategies for achieving national goals for the meaningful use of health information technology and includes sound project management principles and case illustrations for technology roll-out, such as Computer Physician Order Entry (CPOE) for optimal utilization. The book describes how to enhance process efficiency by linking technologies, data, and analytics with strategic initiatives to achieve success. It explains how to leverage data resources with analytics to enhance decision support for care providers through in-depth descriptions of the array of analytic methods that are used to create actionable information, including Business Intelligence, Six Sigma, Data, and Text Mining.

Healthcare Analytics

Author: Hui Yang
Publisher: John Wiley & Sons
ISBN: 1119374642
Format: PDF, ePub, Docs
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Features of statistical and operational research methods and tools being used to improve the healthcare industry With a focus on cutting-edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and comprehensive treatment on recent research advancements in data-driven healthcare analytics in an effort to provide more personalized and smarter healthcare services. Emphasizing data and healthcare analytics from an operational management and statistical perspective, the book details how analytical methods and tools can be utilized to enhance healthcare quality and operational efficiency. Organized into two main sections, Part I features biomedical and health informatics and specifically addresses the analytics of genomic and proteomic data; physiological signals from patient-monitoring systems; data uncertainty in clinical laboratory tests; predictive modeling; disease modeling for sepsis; and the design of cyber infrastructures for early prediction of epidemic events. Part II focuses on healthcare delivery systems, including system advances for transforming clinic workflow and patient care; macro analysis of patient flow distribution; intensive care units; primary care; demand and resource allocation; mathematical models for predicting patient readmission and postoperative outcome; physician–patient interactions; insurance claims; and the role of social media in healthcare. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement also features: • Contributions from well-known international experts who shed light on new approaches in this growing area • Discussions on contemporary methods and techniques to address the handling of rich and large-scale healthcare data as well as the overall optimization of healthcare system operations • Numerous real-world examples and case studies that emphasize the vast potential of statistical and operational research tools and techniques to address the big data environment within the healthcare industry • Plentiful applications that showcase analytical methods and tools tailored for successful healthcare systems modeling and improvement The book is an ideal reference for academics and practitioners in operations research, management science, applied mathematics, statistics, business, industrial and systems engineering, healthcare systems, and economics. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement is also appropriate for graduate-level courses typically offered within operations research, industrial engineering, business, and public health departments. HUI YANG, PhD, is Associate Professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at The Pennsylvania State University. His research interests include sensor-based modeling and analysis of complex systems for process monitoring/control; system diagnostics/ prognostics; quality improvement; and performance optimization with special focus on nonlinear stochastic dynamics and the resulting chaotic, recurrence, self-organizing behaviors. EVA K. LEE, PhD, is Professor in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology, Director of the Center for Operations Research in Medicine and HealthCare, and Distinguished Scholar in Health System, Health Systems Institute at both Emory University School of Medicine and Georgia Institute of Technology. Her research interests include health-risk prediction; early disease prediction and diagnosis; optimal treatment strategies and drug delivery; healthcare outcome analysis and treatment prediction; public health and medical preparedness; large-scale healthcare/medical decision analysis and quality improvement; clinical translational science; and business intelligence and organization transformation.

Healthcare Made Easy

Author: Michelle Katz
Publisher: "F+W Media, Inc."
ISBN: 1440580197
Format: PDF, ePub, Mobi
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An ABC World News Real Money expert and healthcare advocate helps readers to understand and navigate the Affordable Care Act by providing practical advice for getting the most out of their healthcare plan and answering important questions. Original.

Healthcare Analytics for Quality and Performance Improvement

Author: Trevor L. Strome
Publisher: John Wiley & Sons
ISBN: 1118760158
Format: PDF
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Improve patient outcomes, lower costs, reduce fraud—all with healthcare analytics Healthcare Analytics for Quality and Performance Improvement walks your healthcare organization from relying on generic reports and dashboards to developing powerful analytic applications that drive effective decision-making throughout your organization. Renowned healthcare analytics leader Trevor Strome reveals in this groundbreaking volume the true potential of analytics to harness the vast amounts of data being generated in order to improve the decision-making ability of healthcare managers and improvement teams. Examines how technology has impacted healthcare delivery Discusses the challenge facing healthcare organizations: to leverage advances in both clinical and information technology to improve quality and performance while containing costs Explores the tools and techniques to analyze and extract value from healthcare data Demonstrates how the clinical, business, and technology components of healthcare organizations (HCOs) must work together to leverage analytics Other industries are already taking advantage of big data. Healthcare Analytics for Quality and Performance Improvement helps the healthcare industry make the most of the precious data already at its fingertips for long-overdue quality and performance improvement.

Health Care Informatics

Author: Sheila P. Englebardt
Publisher: Mosby Incorporated
ISBN:
Format: PDF, Mobi
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Informatics the study of the use of computer hardware, software, systematic languages, and data manipulation to collect and apply information is united with health care in this new interdisciplinary textbook. It focuses on topics in informatics relevant to all fields of health care, in a textbook format complete with chapter outlines, objectives, key terms, and discussion questions. A unique online supplement complements the book to offer complete, electronic support for both instructors and students. Written by experts in health care informatics, this text provides a comprehensive overview of all the major concepts in informatics, discussing trends and innovative strategies from a contemporary, mainstream perspective.

Innovation with Information Technologies in Healthcare

Author: Lyle Berkowitz
Publisher: Springer Science & Business Media
ISBN: 1447143272
Format: PDF
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This book provides an extensive review of what innovation means in healthcare, with real-life examples and guidance on how to successfully innovate with IT in healthcare.

Glaser on Health Care IT

Author: John P. Glaser
Publisher: CRC Press
ISBN: 1498768539
Format: PDF, ePub, Docs
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John Glaser has been an astute observer and recognized leader in the health care industry for over thirty years. He has written a regular column for Hospitals & Health Networks in which he comments on a wide range of topics, including improving organizational performance through health information technology (HIT), changes in HIT architecture, challenges in leveraging data, and the evolution of the role of IT leadership. Glaser on Health Care IT: Perspectives from the Decade that Defined Health Care Information Technology is a collection of some of the most widely read articles that have been published in H&HN Daily, H&HN Weekly, and Most Wired Online in the past decade (2005–2015). The columns are dated to show their original publication dates, and the material is organized into four broad themes: HIT Applications and Analytics Challenges Improving Organizational Performance through HIT IT Management Challenges HIT Industry Observations Each section offers readers an intimate look at the myriad issues associated with getting IT "right" and the organizational performance gains that can be achieved in doing so. Moreover, the book examines the power and potential of the technologies available to health care providers today, as well as the transformative nature of those we have yet to fully embrace. From seasoned CIOs and consultants to software developers and nurses, this book provides invaluable insights and guidance to all those seeking to make the delivery of care safer, more effective, and more efficient through the application of health care IT. Foreword by Russ Branzell, President and CEO, College of Healthcare Information Management Executives (CHIME) Co-published with Health Forum, Inc.

Analytics in Healthcare and the Life Sciences

Author: Thomas H. Davenport
Publisher: Pearson Education
ISBN: 0133407330
Format: PDF, ePub, Docs
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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.

Big Data Mining and Analytics

Author: Stephan Kudyba
Publisher: CRC Press
ISBN: 1466568712
Format: PDF
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There is an ongoing data explosion transpiring that will make previous creations, collections, and storage of data look trivial. Big Data, Mining, and Analytics: Components of Strategic Decision Making ties together big data, data mining, and analytics to explain how readers can leverage them to extract valuable insights from their data. Facilitating a clear understanding of big data, it supplies authoritative insights from expert contributors into leveraging data resources, including big data, to improve decision making. Illustrating basic approaches of business intelligence to the more complex methods of data and text mining, the book guides readers through the process of extracting valuable knowledge from the varieties of data currently being generated in the brick and mortar and internet environments. It considers the broad spectrum of analytics approaches for decision making, including dashboards, OLAP cubes, data mining, and text mining. Includes a foreword by Thomas H. Davenport, Distinguished Professor, Babson College; Fellow, MIT Center for Digital Business; and Co-Founder, International Institute for Analytics Introduces text mining and the transforming of unstructured data into useful information Examines real time wireless medical data acquisition for today’s healthcare and data mining challenges Presents the contributions of big data experts from academia and industry, including SAS Highlights the most exciting emerging technologies for big data—Hadoop is just the beginning Filled with examples that illustrate the value of analytics throughout, the book outlines a conceptual framework for data modeling that can help you immediately improve your own analytics and decision-making processes. It also provides in-depth coverage of analyzing unstructured data with text mining methods to supply you with the well-rounded understanding required to leverage your information assets into improved strategic decision making.