SAS business intelligence for the health care industry : practical applications

SAS business intelligence for the health care industry : practical applications

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...

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Bibliographic Details
Corporate Author: SAS Institute Content Provider (content provider)
Other Authors: Gehring, Renu Author (author), SAS Institute Contributor (contributor)
Format: eBook
Language:Inglés
Published: [Place of publication not identified] SAS 2013
Edition:1st edition
Subjects:
SAS (Computer file)
Medicine > Data processing
Business intelligence > Management
Medical records > Management > Data processing
Medical records
Public Health
Health & Biological Sciences
Medical Statistics
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628123706719
Table of Contents:
  • Intro
  • Contents
  • About This Book
  • Purpose
  • Is This Book for You?
  • Prerequisites
  • About the Examples
  • Exercise Solutions
  • Keep in Touch
  • About The Author
  • Acknowledgments
  • Chapter 1: An OVerview of SAS Business Intelligence
  • 1.1 Introduction
  • 1.2 Features of the US Health-Care Industry
  • 1.3 Data Used in This Book
  • 1.4 SAS BI Solutions for the Health-Care Industry
  • 1.5 Conceptual Architecture of SAS BI Platform
  • 1.6 Physical Architecture of the SAS BI Platform
  • 1.7 Types of SAS BI Tools
  • 1.8 Seamless Integration between SAS BI Tools
  • 1.9 SAS Metadata: The Glue That Holds It All Together
  • 1.10 Features of the SAS BI Platform
  • 1.11 Description of SAS BI Applications
  • 1.12 Conclusion
  • Chapter 2: Creating SAS Stored Processes for the Finance Department
  • 2.1 Introduction
  • 2.2 Basic Stored Processes
  • 2.3 Advanced Stored Processes
  • 2.4 Modifying a Stored Process
  • 2.5 Creating Stored Processes with Complex Macro Programming
  • 2.6 Conclusion
  • Chapter 3: SAS Add-In for Microsoft Office for the Business Analyst
  • 3.1 Introduction
  • 3.2 Running a SAS Stored Process
  • 3.3 Querying Warehouse Data with SAS Add-In for Microsoft Office
  • 3.4 Analytical Tasks with SAS Add-In for Microsoft Office
  • 3.5 Customizing the SAS Add-In for Microsoft Office
  • 3.6 Conclusion
  • Chapter 4: Slicing and Dicing Data with OLAP Cubes
  • 4.1 Introduction
  • 4.2 OLAP Cube: Concepts and Definitions
  • 4.3 Building a Cube with SAS OLAP Cube Studio
  • 4.4 Using OLAP Cubes with SAS Add-In for Microsoft Office
  • 4.5 Conclusion
  • Chapter 5: Building a Data Bridge with SAS Information Map Studio
  • 5.1 Introduction
  • 5.2 Navigating SAS Information Map Studio
  • 5.3 Creating an Information Map
  • 5.4 Maintaining and Updating an Information Map
  • 5.5 Creating an Information Map with Prompted Linked Filters.
  • 5.6 Conclusion
  • Chapter 6: Effective Patient Management with SAS Web Report Studio
  • 6.1 Introduction
  • 6.2 Creating Population Lists
  • 6.3 Application Architecture
  • 6.4 The Basics of SAS Web Report Studio
  • 6.5 Creating Prompted Reports
  • 6.6 Linking Reports
  • 6.7 Conclusion
  • 6.8 Notes
  • Chapter 7: Data Security and Dynamic Updates with SAS Information Map Studio
  • 7.1 Introduction
  • 7.2 Data Security in an Information Map
  • 7.3 Dynamic Data Updates
  • 7.4 Scheduling and Distributing a Report in SAS Web Report Studio
  • 7.5 Conclusion
  • Chapter 8: Advanced OLAP Applications in the Health-Care Industry
  • 8.1 Introduction
  • 8.2 Creating a Multipurpose Cube
  • 8.3 Implementing OLAP Data Security via MDX
  • 8.4 Computing Health-Care Metrics in an OLAP Cube
  • 8.5 Conclusion
  • 8.6 Note
  • Chapter 9: Creating Dashboards for the Health-Care Industry
  • 9.1 Introduction
  • 9.2 Elements of Effective Dashboards
  • 9.3 SAS BI Tools for Dashboards
  • 9.4 The Executive Dashboard
  • 9.5 The Medical Management Dashboard
  • 9.6 Conclusion.

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