BI in healthcare: The key to reducing readmission rates

Business intelligence (BI), also referred to as big data, refers to the capture, aggregation, and analysis of large amounts of data. Such data can be used to help organizations make better decisions about all aspects of their business. In recent years, BI has been applied to the healthcare industry with great success.

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How big data helps lower hospital readmission rates

In the healthcare industry, mistakes lead to misdiagnoses, improper medical treatment, and, inevitably, hospital readmissions. But business intelligence (BI) is changing that by equipping healthcare professionals with powerful real-time information. At its core, BI software is all about data analytics.

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Big data’s positive effects on healthcare readmission

Business intelligence (BI) has fueled the growth of many businesses through the years, especially in the finance and manufacturing industries. Today, the benefits extend beyond those industries, as BI and big data have become important tools for healthcare businesses aiming to improve their processes.

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Data analysis made easy with “Glue” service

At a recent cloud technology conference, Amazon Web Services (AWS) launched a tool to help streamline data analytics in the cloud. This new tool, named “Glue,” is designed to help reduce the burden on engineers and employees so they can get down to the important elements of data analytics.

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Adding value to a business with data

The World Wide Web Consortium recently launched the FIDO2 project, allowing users to log in to online accounts with fingerprints, facial scans, and voice recognition. This technology is now also available in popular mobile browsers like Chrome and Firefox Lite, which not only boosts security, but also makes account management much simpler.

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