Administrative Healthcare Data

Author: Craig Dickstein
Publisher: SAS Institute
ISBN: 9781629593814
Release Date: 2014-10-01
Genre: Mathematics

Provides a concise yet complete foundational knowledge of the business of healthcare. Administrative Healthcare Data: A Guide to Its Origin, Content, and Application Using SAS explains the source and content of administrative healthcare data, which is the product of financial reimbursement for healthcare services. The book integrates the business knowledge of healthcare data with practical and pertinent case studies as shown in SAS Enterprise Guide. The book's blend of SAS programming and industry knowledge is unique. It illustrates concepts of administrative healthcare data with actual healthcare case studies. All applications are created with SAS Enterprise Guide or Base SAS and can be taken straight from the book and put to use immediately. Central topics addressed include key players in the healthcare industry and the roles they play; claim submission mechanisms used by different providers; medical claim content, both pre- and post-adjudication. Written for healthcare analysts regardless of their level of proficiency with SAS Enterprise Guide, SAS programming, or healthcare industry knowledge, Administrative Healthcare Data is a must-read for analysts new to the industry and a great review for experienced healthcare analysts. This book is part of the SAS Press program.

Administrative Healthcare Data

Author: Craig Dickstein
Publisher: Sas Inst
ISBN: 1612908861
Release Date: 2014-10-01
Genre: Computers

Explains the source and content of administrative healthcare data, which is the product of financial reimbursement for healthcare services. The book integrates the business knowledge of healthcare data with practical and pertinent case studies as shown in SAS Enterprise Guide.

Administrative Healthcare Data

Author: Craig Dickstein
Publisher: SAS Institute
ISBN: 9781629593807
Release Date: 2014-10-01
Genre: Computers

Explains the source and content of administrative healthcare data, which is the product of financial reimbursement for healthcare services. The book integrates the business knowledge of healthcare data with practical and pertinent case studies as shown in SAS Enterprise Guide.

Analysis of Observational Health Care Data Using SAS

Author: Douglas E. Faries
Publisher: SAS Institute
ISBN: 160764424X
Release Date: 2014-11-07
Genre: Computers

This book guides researchers in performing and presenting high-quality analyses of all kinds of non-randomized studies, including analyses of observational studies, claims database analyses, assessment of registry data, survey data, pharmaco-economic data, and many more applications. The text is sufficiently detailed to provide not only general guidance, but to help the researcher through all of the standard issues that arise in such analyses. Just enough theory is included to allow the reader to understand the pros and cons of alternative approaches and when to use each method. The numerous contributors to this book illustrate, via real-world numerical examples and SAS code, appropriate implementations of alternative methods. The end result is that researchers will learn how to present high-quality and transparent analyses that will lead to fair and objective decisions from observational data. This book is part of the SAS Press program.

Longitudinal Data and SAS

Author: Ron Cody
Publisher: SAS Institute
ISBN: 1590474295
Release Date: 2001-10-01
Genre: Computers

Working with longitudinal data introduces a unique set of challenges. Once you've mastered the art of performing calculations within a single observation of a data set, you're faced with the task of performing calculations or making comparisons between observations. It's easy to look backward in data sets, but how do you look forward and across observations? Ron Cody provides straightforward answers to these and other questions. Longitudinal Data and SAS details useful techniques for conducting operations between observations in a SAS data set. For quick reference, the book is conveniently organized to cover tools-an introduction to powerful SAS programming techniques for longitudinal data; case studies-a variety of illuminating examples that use Ron's techniques; and macros-detailed descriptions of helpful longitudinal data macros. Beginning to intermediate SAS users will appreciate this book's informative, easy-to-comprehend style. And users who frequently process longitudinal data will learn to make the most of their analyses by following Ron's methodologies.

SAS Programming with Medicare Administrative Data

Author: Matthew Gillingham
Publisher: SAS Institute
ISBN: 9781629591537
Release Date: 2014-05-01
Genre: Mathematics

SAS Programming with Medicare Administrative Data is the most comprehensive resource available for using Medicare data with SAS. This book teaches you how to access Medicare data and, more importantly, how to apply this data to your research. Knowing how to use Medicare data to answer common research and business questions is a critical skill for many SAS users. Due to its complexity, Medicare data requires specific programming knowledge in order to be applied accurately. Programmers need to understand the Medicare program in order to interpret and utilize its data. With this book, you'll learn the entire process of programming with Medicare data—from obtaining access to data; to measuring cost, utilization, and quality; to overcoming common challenges. Each chapter includes exercises that challenge you to apply concepts to real-world programming tasks. SAS Programming with Medicare Administrative Data offers beginners a programming project template to follow from beginning to end. It also includes more complex questions and discussions that are appropriate for advanced users. Matthew Gillingham has created a book that is both a foundation for programmers new to Medicare data and a comprehensive reference for experienced programmers. This book is part of the SAS Press program.

Analytics in a Big Data World

Author: Bart Baesens
Publisher: John Wiley & Sons
ISBN: 9781118892749
Release Date: 2014-04-15
Genre: Business & Economics

The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.

Health Care Data and SAS

Author: Marge Scerbo
Publisher: SAS Institute
ISBN: 1580258654
Release Date: 2001
Genre: Computers

New and experienced SAS programmers and analysts working in health care data analysis will find this book invaluable in their daily professional life. A terrific primer for new health care analysts and a reference for long-time practitioners, this book defines the types of health care data and explores a wide range of tasks, including reading, validating, and manipulating the health care data, and producing reports.

Statistical Programming in SAS

Author: A. John Bailer
Publisher: SAS Institute
ISBN: 1607645041
Release Date: 2010-06-01
Genre: Computers

In this guide, the author integrates SAS tools with interesting statistical applications and uses SAS 9.2 as a platform to introduce programming ideas for statistical analysis, data management, and data display and simulation.

RVU s

Author: Kathryn P. Glass
Publisher: Medical Group Management Assn
ISBN: 1568291779
Release Date: 2003-01-01
Genre: Medical


The Analytics Lifecycle Toolkit

Author: Gregory S. Nelson
Publisher: John Wiley & Sons
ISBN: 9781119425069
Release Date: 2018-04-03
Genre: Business & Economics

An evidence-based organizational framework for exceptional analytics team results The Analytics Lifecycle Toolkit provides managers with a practical manual for integrating data management and analytic technologies into their organization. Author Gregory Nelson has encountered hundreds of unique perspectives on analytics optimization from across industries; over the years, successful strategies have proven to share certain practices, skillsets, expertise, and structural traits. In this book, he details the concepts, people and processes that contribute to exemplary results, and shares an organizational framework for analytics team functions and roles. By merging analytic culture with data and technology strategies, this framework creates understanding for analytics leaders and a toolbox for practitioners. Focused on team effectiveness and the design thinking surrounding product creation, the framework is illustrated by real-world case studies to show how effective analytics team leadership works on the ground. Tools and templates include best practices for process improvement, workforce enablement, and leadership support, while guidance includes both conceptual discussion of the analytics life cycle and detailed process descriptions. Readers will be equipped to: Master fundamental concepts and practices of the analytics life cycle Understand the knowledge domains and best practices for each stage Delve into the details of analytical team processes and process optimization Utilize a robust toolkit designed to support analytic team effectiveness The analytics life cycle includes a diverse set of considerations involving the people, processes, culture, data, and technology, and managers needing stellar analytics performance must understand their unique role in the process of winnowing the big picture down to meaningful action. The Analytics Lifecycle Toolkit provides expert perspective and much-needed insight to managers, while providing practitioners with a new set of tools for optimizing results.

An Introduction to Statistical Learning

Author: Gareth James
Publisher: Springer Science & Business Media
ISBN: 9781461471387
Release Date: 2013-06-24
Genre: Mathematics

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

SAS Business Intelligence for the Health Care Industry

Author: Renu Gehring
Publisher: SAS Institute
ISBN: 9781612903231
Release Date: 2013
Genre: Computers

SAS Business Intelligence for the Health Care Industry: Practical Applications teaches health care executives, managers, providers, and business analysts how to use SAS Business Intelligence (BI) tools to convert data into knowledge and value at all levels in the health care industry. This book demonstrates how SAS BI solutions can be applied to the health care industry and offers detailed explanations of code and tasks in an approachable case study format. All applications are created with sample data that has the richness and complexity of operational health care data. With its level of depth and perfect blend of technology and business contexts, this book provides health care analysts, researchers, and statisticians with information and examples that can be used effectively and immediately. It is an indispensable aid to the health care professional in keeping up with a fast-changing industry.

Health Analytics

Author: Jason Burke
Publisher: John Wiley & Sons
ISBN: 9781118733950
Release Date: 2013-06-18
Genre: Business & Economics

A hands-on, analytics road map for health industry leaders The industry-wide transformation taking place across the health and life sciences ecosystem is mandating that organizations adopt new decision-making capabilities, based on science and real-world information. Analytics will be a required competency for the modern health enterprise; this book is about how to "cross the chasm." The ultimate analytics guide for the health industry leader, this essential book equips business leaders with little-to-no experience in analytics to understand how to incorporate analytics as a cornerstone of their 21st century competitive business strategy. Paints the picture for a new health enterprise, one focused on the patient Explores the financial components of this new operating model, using analytics to optimize the tradeoffs between cost and value Deals with the rising role of the consumer, using analytics to create a completely new health engagement model with individual recipients of care Looks at how analytics can drive innovations in care practice, patient-experienced medical outcomes, and analytically driven novel therapies optimized for the individual patient Presents a variety of text, tables, and graphics illustrating the various concepts being described Within each section and chapter, Health Analytics assesses the current landscape, proposing a new model/concept, sharing real-world stories of how the old and new world come together, and framing a "how-to" for the reader in terms of growing that particular set of capabilities in their own enterprises.

The Little SAS Book

Author: Lora D. Delwiche
Publisher: SAS Institute
ISBN: 9781612904009
Release Date: 2012-10-12
Genre: Computers

A classic that just keeps getting better, The Little SAS Book is essential for anyone learning SAS programming. Lora Delwiche and Susan Slaughter offer a user-friendly approach so readers can quickly and easily learn the most commonly used features of the SAS language. Each topic is presented in a self-contained two-page layout complete with examples and graphics. The fifth edition has been completely updated to reflect the new default output introduced with SAS 9.3. In addition, there is a now a full chapter devoted to ODS Graphics including the SGPLOT and SGPANEL procedures. Other changes include expanded coverage of linguistic sorting and a new section on concatenating macro variables with other text. This book is a great tool for users of SAS 9.4 as well. This title belongs on every SAS programmer's bookshelf. It's a resource not just to get you started, but one you'll return to as you continue to improve your programming skills. This book is part of the SAS Press program.