The “Healthcare Analytics Market (Predictive Modeling, Clinical Analytics, Financial Analytics & Others) – Trends & Global Forecasts to 2017” analyzes and studies the major market drivers, restraints, and opportunities in U.S. , Europe, Asia, and Rest of the World(Australia, New Zealand, LATAM region, Middle East, Africa and Russia. Australia and New Zealand)
- 98 market data tables
- 9 figures
- 272 pages and an in-depth Table of Content on “Healthcare Analytics/Medical Analytics Market “
This report studies the global Healthcare Analytics/ Medical Analytics market over the forecast period 2012-2017.
Healthcare analytics systems are used to reveal and understand historical patterns within the data with an eye to predict and improve operational performance. Healthcare analytics is used for both business as well as medical practice. Organizations use this data to evaluate alternative treatments. The outcomes reveal which treatment works best, disease patterns, patients at high risk and evaluates the performance of individual physicians.
Healthcare analytics is mainly segmented into two types; real time analytics and batch analytics. Real time analytics is carried out on the spot and helps in quick decision making, for instance, clinical decision support software with active knowledge systems use two or more items of patient data to generate case-specific advice. Batch Analytics retrospectively evaluates past data such as patient records and claims data from an insured population, which helps in predictive modeling and cost control measures.
The global healthcare analytics market is expected to grow at a CAGR of 23.7% from 2012 to 2017. The growth is mainly driven by predictive analytics and is supported by strong growth in the U.S. and Asian region.
The major players in the market are Verisk (U.S.), Medai (U.S.), MedeAnalytics (U.S.), Optum Health (U.S.), Truven Health (U.S.), McKesson (U.S.), Cerner (U.S.) and other larger players such as IBM (U.S.), Oracle (U.S.).
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