Health care analytics is the health care analysis activities that can be undertaken as a result of data collected from four areas within healthcare; claims and cost data, pharmaceutical and research and development (R&D) data, clinical data (collected from electronic medical records (EHRs)), and patient behavior and sentiment data (patient behaviors and preferences, (retail purchases e.g. data captured in running stores).[1] Health care analytics is a growing industry in the United States, expected to grow to more than $31 billion by 2022.[2] The industry focuses on the areas of clinical analysis, financial analysis, supply chain analysis, as well as fraud and HR analysis.

This program is designed to have a right blend of Statistical Analysis, Predictive Modelling and Artificial Intelligence in making human health better by taking proactive decisions. Healthcare Enterprises are leveraging AI-powered analytics for enhanced innovation and increased productivity. In accordance with the trends in the broader Healthcare industry in the US, 360DigiTMG has developed the Certification Program in Healthcare Analytics. This course is meticulously designed to suit both Healthcare practitioners, IT Business Analysts and Data Scientists.
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  1. Azure Synapse Analyticsis a powerful new service that helps you understand the patterns and relationships buried within your machine data. It provides a suite of machine learning algorithms, which can be scaled up or down to meet the needs of any size organization. In this blog post, we’ll show how you can use Azure Synapse Analytics to classify and group your customers, or map out the communications of a social network.

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