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Analysis of Big Data Analytics in Healthcare Industry Show APEJ to be Fastest Expanding Market for during 2017-2026
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Big Data Analytics Enhancing Decision Making Capacity of Healthcare Enterprises
Big data analytics has paved a new path for healthcare organizations to devise actionable insights, boost up the outcomes, reduce time to value, and organize their future vision. This approach has been deemed helpful in providing insightful information to healthcare enterprises with regard to their planning, measurements, and management. The evaluated results further help in enhancing decision making capacity of these enterprises. By recording disease outbreaks and analyzing disease patterns, big data analytics approach can improve public health issues. Large quantity of data help in determining needs, offering required services, and predicting & preventing future crises. Big data analytics approach also helps in evaluating standard medical data, structured or unstructured, for predicting patients at risk and providing them with effective care.
Drive toward electronic medical records, coupled with favorable government policies has further driven the adoption of big data analytics in healthcare sector. However, majority of medical professionals lack the skill set needed for leveraging information offered by the big data analytics, which continues to be a major restraint for growth of the market. Government and healthcare organizations are therefore focusing on proper training of professionals for making them capable of utilizing the data obtained in a meaningful manner for better drafting of healthcare policies and improving patient outcomes.
APEJ to be Fastest Expanding Market for Big Data Analytics in Healthcare during 2017-2026
Asia-Pacific excluding Japan (APEJ) is expected to remain the fast-expanding market for big data analytics in healthcare. North America is also expected to showcase a promising growth in the market, which can be mainly attributed to big data initiatives of the federal government. Initiatives such as HITECH Act are promoting big data and reducing healthcare expenses in North America. Europe will also account for a major portion of the market’s revenue share during the forecast period.
On the back of rising pressure of curbing healthcare costs, growing adherence toward electronic health records (EHRs), emphasis on improving patient outcomes and reducing hospital readmission rates have spurred the adoption of CRM analytics tool. CRM analytics will remain the most lucrative tool in the market, followed by financial analytics, production reporting, and supply chain analytics, which are increasingly adopted for complying with federal mandates regarding ICD-10 code sets’ implementation.
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Table of Contents:
Global Economic Outlook
Global Big Data & Analytics in Healthcare Market – Executive Summary
Global Big Data & Analytics in Healthcare Market Overview
3.1. Introduction
3.1.1. Global Big Data & Analytics in Healthcare Market Taxonomy
3.1.2. Global Big Data & Analytics in Healthcare Market Definition
3.2. Global Big Data & Analytics in Healthcare Market Size (US$ Mn) and Forecast, 2012-2026
3.2.1. Global Big Data & Analytics in Healthcare Market Y-o-Y Growth
3.3. Global Big Data & Analytics in Healthcare Market Dynamics
3.4. Value Chain
3.5. Architecture of Big Data Analytics
3.6. Modern Data Platform (Technology Roadmap)
3.7. Integration of Data Sets for Major Opportunities
3.8. Client Survey about Deployment of Big Data & Analytics Technology
3.9 Four Dimensions (4 V’s) of Big Data
3.10. Outline of Big Data Analytics in Healthcare Methodology
3.11 Global Healthcare Spending of Top 10 Countries
3.12 United States Healthcare Spending by type of services/products & Major source of Funds, 2016
3.13. Key Participants Market Presence (Intensity Map) By Region
Global Big Data & Analytics in Healthcare Market Analysis and Forecast 2012-2026
4.1. Global Big Data & Analytics in Healthcare Market Size and Forecast By Spender Type, 2012-2026
4.1.1. Healthcare Payer Market Size and Forecast, 2012-2026
4.1.1.1. Revenue (US$ Mn) Comparison, By Region
4.1.1.2. Market Share Comparison, By Region
Continued……….
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