Albany, NY -- (SBWire) -- 07/18/2019 --The global market for healthcare analytics reached $6.2 billion in 2016. This market should reach nearly $7.2 billion in 2017 and $14.9 billion by 2022, at a compound annual growth rate (CAGR) of 15.8%.

Report Includes
58 data tables and 20 additional tables
An overview of the global markets for healthcare analytics
Analyses of global market trends, with data from 2016, estimates for 2017, and projections of compound annual growth rates (CAGRs) through 2022
A look at how healthcare analytics utilizes systematic data from clinical and business fronts to arrive at insights that are developed with the help of statistical, contextual, quantitative, predictive, and cognitive spectrums
Evaluations of factors driving the market, such as the introduction of federal healthcare policies, increased focus on data collection and analysis for better customer service, progress in clinical outcomes, rapid technological advances, and the emergence of social media
Analysis of growth inhibitors, such as data security issues, patient data confidentiality, cultural barriers to IT adoption, and lack of manpower with cross-functional analytical skills
A look at the role different participants in the industry play, including the government, insurers, medical staff, and physicians
Report Scope
This research report categorizes the healthcare analytics market by type, application, component, end user and delivery model. Applications include financial, clinical, operational and administrative and population health analytics. Components include services, software and hardware. Delivery includes on premise and on demand delivery models. End users include payers, providers and others.

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The financial analytics are provided for claims processing; revenue cycle management (RCM); payment integrity and fraud, waste, and abuse (FWA); risk adjustment; and risk assessment. Clinical analytics is provided for quality improvement and clinical benchmarking; clinical decision support; regulatory reporting and compliance; comparative analytics and comparative effectiveness; and performance measurement. Operation and administrative analytics are provided for supply chain analytics, workforce analytics and strategic analytics.

Chapter 1 Introduction
Study Goals and Objectives
Reasons for Doing This Study
Scope of Report
Information Sources
Methodology
Geographic Breakdown
Analyst's Credentials
Related BCC Research Reports
Chapter 2 Summary and Highlights
Chapter 3 Market and Technology Background
Introduction
Healthcare Industry
Definition
Types of Analytics
Descriptive Analytics
Predictive Analytics
Prescriptive Analytics
Healthcare Analytics Segmentation
Big Data in Healthcare
Market Dynamics
Healthcare Analytics Delivery Models
Key Success Factors
Fraud Detection
Challenges of Using Big Data in Healthcare
Drivers
Improved Clinical Outcomes
U.S. Government Support
Hardware Advancements
Margin Pressures Increasing Use of Analytics
Payer Provider Convergence
Rising Healthcare Cost
Restraints
Lack of Uniformity in Healthcare Data
Resistance to IT-Based Approach by Medical Professionals
Operational Gap between Payer and Provider
Opportunities
Electronic Health Records (EHRs) Increasing Data Volumes
Rising Importance of Value-based Medicine Due to Peer Pressure
Health Information Exchange
Ease of Handling Big Data
Emergency Care and Preventive Care
Saves Time and Cost
Data Clarity and Transparency
Fraud Detection
Challenges
Financial Constraints
Ensuring Patient Confidentiality
Traditional Techniques
Burning Issues
Rising Demand of Healthcare Analytics Professionals
Interoperability a Focus Area
Providers Will Drive the Market for Analytics
Inclusive Leaders
Communication and Learning
Embedded Analytics
Transparency
Real-Time Monitoring
Incorporation of Staff Feedback

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