practical predictive analytics and decisioning systems for medicine informatics accuracy and cost effectiveness for healthcare administration and delivery including medical research

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Practical Predictive Analytics And Decisioning Systems For Medicine

Author : Linda Miner
ISBN : 9780124116405
Genre : Computers
File Size : 26. 85 MB
Format : PDF, ePub, Docs
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With the advent of electronic medical records years ago and the increasing capabilities of computers, our healthcare systems are sitting on growing mountains of data. Not only does the data grow from patient volume but the type of data we store is also growing exponentially. Practical Predictive Analytics and Decisioning Systems for Medicine provides research tools to analyze these large amounts of data and addresses some of the most pressing issues and challenges where data integrity is compromised: patient safety, patient communication, and patient information. Through the use of predictive analytic models and applications, this book is an invaluable resource to predict more accurate outcomes to help improve quality care in the healthcare and medical industries in the most cost–efficient manner. Practical Predictive Analytics and Decisioning Systems for Medicine provides the basics of predictive analytics for those new to the area and focuses on general philosophy and activities in the healthcare and medical system. It explains why predictive models are important, and how they can be applied to the predictive analysis process in order to solve real industry problems. Researchers need this valuable resource to improve data analysis skills and make more accurate and cost-effective decisions. Includes models and applications of predictive analytics why they are important and how they can be used in healthcare and medical research Provides real world step-by-step tutorials to help beginners understand how the predictive analytic processes works and to successfully do the computations Demonstrates methods to help sort through data to make better observations and allow you to make better predictions

Analytics In Healthcare And The Life Sciences

Author : Thomas H. Davenport
ISBN : 9780133408706
Genre : Business & Economics
File Size : 62. 88 MB
Format : PDF
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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.

Handbook Of Statistical Analysis And Data Mining Applications

Author : Robert Nisbet
ISBN : 0080912036
Genre : Mathematics
File Size : 38. 87 MB
Format : PDF, Kindle
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The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions. Written "By Practitioners for Practitioners" Non-technical explanations build understanding without jargon and equations Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models Practical advice from successful real-world implementations Includes extensive case studies, examples, MS PowerPoint slides and datasets CD-DVD with valuable fully-working 90-day software included: "Complete Data Miner - QC-Miner - Text Miner" bound with book

Practical Text Mining And Statistical Analysis For Non Structured Text Data Applications

Author : Gary Miner
ISBN : 9780123869791
Genre : Mathematics
File Size : 46. 28 MB
Format : PDF, ePub, Mobi
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The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities. -Extensive case studies, most in a tutorial format, allow the reader to 'click through' the example using a software program, thus learning to conduct text mining analyses in the most rapid manner of learning possible -Numerous examples, tutorials, power points and datasets available via companion website on Elsevierdirect.com -Glossary of text mining terms provided in the appendix

The Patient Flow Advantage

Author : Kirk Jensen
ISBN : 1622180186
Genre :
File Size : 29. 47 MB
Format : PDF
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Some is not a number. Soon is not a time. Somehow is not a strategy! How will your organization survive and thrive with the shift from volume to value? In healthcare, change used to be less frequent. But today, each of us works in a capacity-constrained environment where change is constant and patient volume is ever increasing. Flow matters. In fact, it's non-negotiable.Efficient patient flow has never been more critical to ensure patient safety, satisfaction, and optimal reimbursement. In The Patient Flow Advantage: How Hardwiring Hospital-Wide Flow Drives Competitive Performance, Drs. Kirk Jensen and Thom Mayer share tips and best practices from their Flow Tool Kit. This resource was developed based on years of hardwiring flow in hundreds of hospitals across the U.S. and Canada.Building on principles first outlined in their earlier book Hardwiring Flow: Systems and processes for Seamless Patient Care, the authors offer specific tips, tools, and techniques to add value and eliminate waste. The goal: to build effectiveness, efficiency and a patient-centric focus into the heart of every process that serves patients.Readers will learn: The 7 core strategies to hardwire flow and the tools that support them Why--and how--to use Evidence-Based LeadershipSM for agile, effective teamwork and a culture of safety and accountability Valuable lessons to apply from other industries --like restaurants, aviation, and submarine operations--that get flow right (or that have mastered flow) "Advanced" flow concepts, including how to use targeted systems hospital-wide to relieve boarding and speed patient care How to apply these strategies to the "frontiers of flow," in acute care surgery, critical care medicine, radiology, and anesthesia servicesData, knowledge, and wisdom. Learn to leverage your people, your processes, and your healthcare spaces to better serve your patients, providers, leaders, and staff. The Patient Flow Advantage is your must have guide to hardwire hospital-wide flow.

Clinical Intelligence The Big Data Analytics Revolution In Healthcare

Author : Peter K. Ghavami, Ph.d.
ISBN : 1500428590
Genre : Medical
File Size : 76. 20 MB
Format : PDF, Mobi
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This book offers concepts, methods and a framework to analyze healthcare data in new ways to improve patient health outcomes, improve population health and reduce costs. The framework takes the reader step-by-step through data warehouse and data management architectures, analytics algorithms and modeling techniques for applications in predictive medicine, optimization, machine learning, natural language processing, classification and data clustering. This book introduces the reader to data science for healthcare. It provides a clinical perspective to data including sources of open healthcare data, clinical prediction rules and much more.

Health Care Information Systems

Author : Karen A. Wager
ISBN : 9781119337089
Genre : Medical
File Size : 56. 4 MB
Format : PDF, ePub
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The bestselling guide to the field, updated with a new, more relevant perspective Health Care Information Systems is the gold-standard textbook for the field, providing in-depth coverage of real-world health information management. Merging general concepts with practical detail, this book provides students with a highly transferable skill set that transitions seamlessly into practice. This new fourth edition has been completely reworked to reflect the health care system's evolving needs, providing a big-picture health system perspective on information systems throughout the continuum of care. Coverage of new and emerging technologies and population health management offers engaging discussion of current shifts in the health care industry, and case studies have been updated and expanded to provide additional illustration of important concepts. Recent years have brought significant changes to the health care industry, and information management is becoming an increasingly critical part of managing health and healthcare; this book provides essential guidance toward all aspects of the field. Learn how information systems are used across the health care continuum Discover the role of IT in managing health, patient engagement, and care management Explore the latest technologies that facilitate the management of sensitive information Delve into increasing trends, such as population health management Health care reform, accountable care, and an increasingly global focus has turned the health care data stream into a deluge. Information systems are becoming increasingly powerful, but they are of little use unless backed by practitioners with a deep understanding of both information management and the health care system. Health Care Information Systems equips future health care managers to serve the needs of any health care organization.

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