NEW YORK, Aug. 16, 2012 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:
U.S. Hospital Health Data Analytics Market
This study examines the key trends and issues affecting the U.S. hospital health data analytics market, including a review of industry challenges and market drivers and restraints through 2016. It also analyzes the impact of recent legislative mandates on the implementation and usage of information technology, including data analytics, in U.S. hospitals. Also provided are brief profiles of technology vendors serving the market, and growth forecasts for adoption through 2016. It is designed to inform a range of market participants, including large and small IT vendors across the health care ecosystem in addition to payers, providers, consultants, policy makers and others in need of a better understanding of this new and important trend.
TABLE OF CONTENTS
Ch a p t e r 1
C Executive Summary
U.S. Hospital Health Data Analytics Market—Executive Summary 1-1
Executive Summary of Key Findings for the U.S. Hospital Health Data Analytics Market 1-1
Introduction and Overview 1-5
Research Methodology 1-7
Primary and Secondary Research Methodology 1-7
Forecasting Constraints 1-7
Exclusions and Limitations 1-8
C h a p t e r 2
Glossary of Terms and Data Analytics Fundamentals
Acronyms and Terms 2-1
Definitions of Acronyms and Terms 2-1
Data Analytics Basics 2-5
What are Data Analytics? 2-5
Introduction to Key Concepts in Data Analytics 2-5
Databases are the Foundation of Data Analytics 2-5
The Difference Between Structured versus Unstructured Data 2-6
Big Data Will Drive Market Disruption of Database Vendors 2-6
Why Data Analytics are Important in Health Care? 2-6
C h a p t e r 3
U.S. Hospitals and the Use of Information Technology
Introduction to Information Technology Used in Hospitals 3-1
Overview of U.S. Hospitals 3-1
General Industry Characteristics 3-5
Health Care Reform and Hospitals 3-6
Health Care Reform Means More Patients, Different Practice and Payment Models, and
New Requirements to Collect and Process Data 3-6
Core Information Technology Systems Used in Hospitals 3-9
New Focus on Electronic Health Records 3-11
Electronic Health Records Can Help Fix a Broken Health Care System 3-11
C h a p t e r 4
Introduction to Health Data Analytics
Overview of Health Data Analytics 4-1
Data Analytics in Health Care Organizations 4-1
General Purpose and Function 4-1
Various Terminologies in Use 4-2
The Term Health Data Analytics Conveys Future Direction 4-2
Market Segmentation for Data Analytics in Health Care Environments 4-3
Trends in Health Data Analytics in Hospital Environments 4-4
Types of Data Analytics Utilized in Hospitals 4-4
Analytics Address a Variety of Needs 4-7
Health Care CIOs' Plans for Advanced Analytics 4-7
Analytics Maturity and Adoption Models 4-8
Implementation Approaches Specific to the Hospital Setting 4-10
The HIMSS EMR Adoption Model Relative to the Adoption of Health Data Analytics 4-10
Deployment and Management Processes 4-12
Overview of the Typical Deployment Process 4-13
The Role of the Data Warehouse 4-13
The Importance of Data Governance 4-14
Support from the C-Suite and Hospital Board 4-14
Data Analytics and EHR Adoption Trends in Hospitals 4-15
The Current Status of Health Data Analytics in Hospitals 4-17
Analytics Focused on the Revenue Cycle 4-17
The Emerging Role of Clinical Data Analytics 4-18
EHRs as a Starting Point for Health Data Analytics 4-18
C h a p t e r 5
Hospital Health Data Analytics Market Engineering Measurements and Market
Dynamics
Market Engineering Measurements and Market Dynamics 5-1
Market Engineering Measurements 5-1
Market Age 5-3
Saturation 5-3
Implementation and Subscription Fees 5-3
Price Sensitivity 5-4
Potential Customers and Buyers 5-4
Number of Products and Market Competitors 5-4
Competition and Technical Change 5-5
Customer Satisfaction and Loyalty 5-5
Industry Challenges 5-5
Slow Overall Economic Growth Creates Budgetary Constraints, Limiting the Demand for
Advanced Analytics 5-6
Low Penetration of Advanced EHRs Slows Data Analytics Projects 5-6
Lack of IT Staffing for Analytics Projects Challenge CIOs 5-6
Lack of Analytics Expertise and Culture of Slow Adoption of New Technology Negatively
Affects the Market 5-7
Need for End-user Training Limits Data Analytics Utilization Rates 5-7
Changing Regulatory Environment Impedes Decision Making 5-7
Lack of Standards and Confusion Regarding Analytics Solutions Slows Adoption 5-8
Market Drivers 5-8
Increase in Volume of Electronic Data Prompts Interest in Analytics 5-9
The Need to Improve Operational Efficiency Grows with Financial Constraints and Greater
Patient Volumes 5-9
Evolution of Accountable Care Organizations Drives Demand for Data Analytics 5-10
Extension of Analytics to Hospital Affiliated Entities 5-10
Conversion to ICD-10 Claims Coding Increases Volume and Specificity of Data Derived from
Clinical Documentation 5-11
Market Restraints 5-11
Continuing Use of Existing Basic Analytics Tools Restricts the Adoption of New Solutions 5-12
Lack of Standardized Health Data Affects Analytics Usage 5-12
Communication Barriers in Hospitals Continues to Suppress Information Sharing 5-12
High Implementation and Licensing Fees Delay Mass Adoption 5-12
C h a p t e r 6
Hospital Health Data Analytics Market—Competitive Structure and Select Vendor
Profiles
Overview of the Competitive Landscape 6-1
Competitive Structure 6-1
Vendor Business Models and Purchasing Considerations 6-3
Most Health Data Analytics Vendors Employ Web-Based Business Models 6-3
Commercial versus Homegrown Analytics Solutions 6-4
Purchasing Processes and Considerations 6-4
Pricing Approaches 6-5
General Considerations 6-5
Two Key Elements to Pricing 6-5
Sales and Implementation 6-6
The Sales Cycle 6-6
Implementation 6-7
Select Vendor Profiles 6-7
Vendor Profiles 6-7
C h a p t e r 7
Growth Forecasts for the Adoption of Health Data Analytics in Hospitals
Hospital Health Data Analytics Adoption Growth Forecasts 7-1
Adoption Growth Forecasts 7-1
Health Care Organizations Continue to Adopt Health IT Solutions to Drive Transformation 7-4
Methodology for Adoption Growth Forecasts 7-5
Hospital EHR Adoption and Growth Forecasts 7-5
Hospital Health Data Analytics Adoption and Growth Forecasts 7-6
C h a p t e r 8
Summary of Key Market Considerations
Summary of Key Trends and Strategic Recommendations 8-1
Conclusion and Key Market Considerations 8-1
BI Systems or Business Process Technology 8-2
Deployment and Maintenance of Data Warehouses 8-3
Cloud-based Analytics Delivery Model 8-3
Claims versus Clinical Data 8-3
Development of Uniform KPIs 8-4
Use of Internal Data Analysts by Provider Organizations 8-4
Health Care Data Analytics Competitive Landscape 8-4
C h a p t e r 9
References and Decision Support Databases
References 9-1
Bibliography 9-1
Decision Support Databases 9-2
Projected National Health Expenditures and Select Economic Indicators 9-2
National Health Expenditures by Source of Funds 9-3
Percent Distribution of National Health Expenditures by Source of Funds 9-3
Projected National Health Expenditures by Select Objects 9-4
Annual Revenues and Growth Rates for Select Health Care Industries by Business Type 9-5
Annual Revenues for Select Health Care Industries by Source of Revenue 9-7
Number and Growth Rate of Health Care Establishments by Type 9-7
Stage 1 Meaningful Use Core Objectives for Hospitals 9-9
Stage 1 Meaningful Use Menu Objectives for Hospitals 9-10
List of Figures
C h a p t e r 2
Glossary of Terms and Data Analytics Fundamentals
2-1 Hospital Health Data Analytics Market:
Definition of Select Terms Related to Health Information Technology (U.S.), 2012 2-1
2-2 Hospital Health Data Analytics Market:
Definition of Select Terms Related to Data Analytics (U.S.), 2012 2-3
C h a p t e r 3
U.S. Hospitals and the Use of Information Technology
3-1 Hospital Health Data Analytics Market:
Select Hospital Metrics (U.S.), 2010 3-1
3-2 Hospital Health Data Analytics Market:
Ten Largest Health Care Systems by Hospital Count (U.S.), 2010 3-2
C h a p t e r 4
Introduction to Health Data Analytics
4-1 Hospital Health Data Analytics Market:
Types of Analytics Functions Used Within Health Care Organizations and
Plans for Future Use (U.S.), 2011-2013 4-5
4-2 Hospital Health Data Analytics Market:
Percent of Hospitals by the Seven Stages of the HIMSS EMR Adoption Model
(U.S.), 2006-2011 4-9
4-3 Hospital Health Data Analytics Market:
Definition of Hospital EHRs by Functional Category (U.S.), 2012 4-15
4-4 Hospital Health Data Analytics Market:
Percent of Hospitals Using Any, Basic, or Comprehensive EHR (U.S.), 2008-2011 4-16
C h a p t e r 5
Hospital Health Data Analytics Market Engineering Measurements and Market
Dynamics
5-1 Hospital Health Data Analytics Market:
Impact of the Top Seven Industry Challenges (U.S.), 2012-2016 5-5
5-2 Hospital Health Data Analytics: Market Drivers Ranked in Order of Impact
(U.S.), 2012-2016 5-8
5-3 Hospital Health Data Analytics: Market Restraints Ranked in Order of Impact (
U.S.), 2012-2016 5-11
C h a p t e r 6
Hospital Health Data Analytics Market—Competitive Structure and Select Vendor
Profiles
6-1 Hospital Health Data Analytics Market:
Competitive Structure (U.S.), 2011 6-2
C h a p t e r 7
Growth Forecasts for the Adoption of Health Data Analytics in Hospitals
7-1 Hospital Health Data Analytics Market:
Total Hospital EHR Adoption and Growth Forecast (U.S.), 2011-2016 7-2
7-2 Hospital Health Data Analytics Market:
Total Hospital Health Data Analytics Adoption and Growth Forecasts (U.S.), 2011-2016 7-3
C h a p t e r 8
Summary of Key Market Considerations
C h a p t e r 9
References and Decision Support Databases
9-1 Decision Support Database:
Projected National Health Expenditures and Selected Economic Indicators (U.S.), 2009-2015 9-2
9-2 Decision Support Database:
National Health Expenditures by Source of Funds for 2009 and Projections for 2010 through 2015
(U.S.) 9-3
9-3 Decision Support Database:
Percent Distribution of National Health Expenditures by Source of Funds for 2009 and Projections for
2010 through 2015 (U.S.) 9-4
9-4 Decision Support Database:
Projected National Health Expenditures by Selected Objects (U.S.), 2009-2015 9-5
9-5 Decision Support Database:
Annual Revenues and Growth Rates for Selected Health Care Industries by Business
Type (U.S.), 2000 and 2009 9-6
9-6 Decision Support Database:
Annual Revenues for Selected Health Care Industries by Source of Revenue (U.S.), 2009 9-7
9-7 Decision Support Database:
Number and Growth Rate of Health Care Establishments by Type (U.S.), 2002 and 2007 9-8
9-8 Decision Support Database:
Stage 1 Meaningful Use Core Objectives for Hospitals (U.S.), 2012 9-9
9-9 Decision Support Database:
Stage 1 Meaningful Use Menu Objectives for Hospitals (U.S.), 2012 9-10
List of Charts
C h a p t e r 3
U.S. Hospitals and the Use of Information Technology
3.1 Hospital Health Data Analytics Market:
Distribution of National Health Expenditures by Category (U.S.), 2010 3-3
3.2 Hospital Health Data Analytics Market:
Distribution of Community Hospitals by Ownership (U.S.), 2009 3-3
3.3 Hospital Health Data Analytics Market:
Distribution of Payers for Hospital Services (U.S.), 2010 3-4
3.4 Hospital Health Data Analytics Market:
Number of Hospital Mergers and Acquisition Deals (U.S.), 2002-2011 3-4
3.5 Hospital Health Data Analytics Market:
Evolution of the Use of Information Technology by Health Care Providers
U.S.), 1960s-2012 3-9
3.6 Hospital Health Data Analytics Market:
Core Hospital Information Technology Categories (U.S.), 2012 3-10
3.7 Hospital Health Data Analytics Market:
Federal Health IT Strategic Goals (U.S.), 2012 3-12
3.8 Hospital Health Data Analytics Market:
Meaningful Use Goals by Stage (U.S.), 2011-2016 3-13
C h a p t e r 4
Introduction to Health Data Analytics
4.1 Hospital Health Data Analytics Market:
Market Segmentation (U.S.), 2012 4-3
4.2 Hospital Health Data Analytics Market:
Definition and Features of Hospital Health Data Analytics (U.S.), 2012 4-4
4.3 Hospital Health Data Analytics Market:
Projects That Will be Supported by Advanced Data Analytics Tools (U.S.), 2011 4-5
4.4 Hospital Health Data Analytics Market:
Planned Use of Advanced Data Analytics Tools (U.S.), 2011 4-6
4.5 Hospital Health Data Analytics Market:
Model for Five Stages of Analytics Capabilities (U.S.), 2011 4-8
4.6 Hospital Health Data Analytics Market:
Percent of Hospitals by the Seven Stages of the HIMSS EMR Adoption Model (U.S.),
2006-2011 4-9
4.7 Hospital Health Data Analytics Market : The Data Warehouse Implementation
Process (U.S), 2012 4-12
4.8 Hospital Health Data Analytics Market:
Health Care Organization Data Warehouse Schematic (U.S), 2012 4-12
4.9 Hospital Health Data Analytics Market:
Percent of Hospitals Using Any, Basic, or Comprehensive EHR (U.S.), 2008-2011 4-17
C h a p t e r 5
Hospital Health Data Analytics Market Engineering Measurements and Market
Dynamics
5.1 Hospital Health Data Analytics Market:
Market Engineering Measurements (U.S.), 2011 5-2
C h a p t e r 6
Hospital Health Data Analytics Market—Competitive Structure and Select Vendor
Profiles
C h a p t e r 7
Growth Forecasts for the Adoption of Health Data Analytics in Hospitals
7.1 Hospital Health Data Analytics Market:
Hospitals' Intent to Attest to Meaningful Use by 2015 (U.S.), 2011 7-1
7.2 Hospital Health Data Analytics Market:
Forecast for Percent of Hospitals With and Without Any EHR (U.S.), 2011-2016 7-2
7.3 Hospital Health Data Analytics Market:
Forecast for Percent of Hospitals Utilizing and Not Utilizing Health Data Analytics
(U.S.), 2011-2016 7-3
7.4 Hospital Health Health Data Analytics Market:
Growth Forecasts for the Percent of Hospitals with EHRs vs. Health Data Analytics
(U.S.), 2011-2016 7-4
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Nicolas Bombourg
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