Healthcare analytics is the process of transforming data into insights that can be used to improve patient care and drive operational efficiency. There are a variety of healthcare analytics applications, including population health management, clinical decision support, and claims fraud detection.
Healthcare analytics relies on a variety of data sources, including electronic health records, claims data, and patient surveys. Data is typically collected from multiple sources and then combined into a central data warehouse. Once data is in the warehouse, it can be cleaned and transformed into a format that is suitable for analysis.
Analytics tools are then used to generate insights from the data. These insights can be used to improve patient care, drive operational efficiency, and reduce costs.
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Key Trends and Drivers
The healthcare analytics market is growing at a rapid pace due to the increasing adoption of data-driven decision making by healthcare organizations. The demand for healthcare analytics is driven by the need to reduce healthcare costs, improve patient outcomes, and increase operational efficiencies. The key trends in the healthcare analytics market are data–driven decision making, predictive analytics, real–time data analytics, and cloud–based solutions.
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Key Players
Some of the key players of Healthcare Analytics Market are IBM (US), Optum (US), Cerner (US), SAS Institute (US), Allscripts (US), McKesson (US), MedeAnalytics (US), Inovalon (US), Oracle (US), and Health Catalyst (US).
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