Drowning Under a Deluge of Data? 5 Ways Machine Learning Can Help

January 17 2019 | by Lalithya Yerramilli in Health Analytics

The healthcare industry is amassing more data than ever before. Consider this: The U.S. healthcare system was already producing 150 exabytes of data several years ago and was expected to soon generate zettabytes (1021 gigabytes) and eventually yottabytes (1024 gigabytes) of data.1


4 Ways Machines can Help in the Fight Against FWA

January 09 2019 | by Lalithya Yerramilli in Payment Integrity

Fraud, waste and abuse (FWA) in the healthcare industry has been estimated to cost anywhere from $80 billion to $272 billion each year.1,2 Unfortunately, fighting FWA is not easy. It typically takes dozens of highly trained experts months just to go through the amount of data required to successfully identify complex patterns of FWA.


3 Ways to Make Electronic Communications Engaging, Not Maddening

December 19 2018 | by Arun Rangamani in Health Analytics

In an “always-on” world, many patients suffer from information overload – a term used to describe the difficulty of understanding an issue and effectively making decisions when one has too much information about said issue.1 The conundrum: Healthcare organizations could still help patients significantly by communicating with them via electronic devices.


Machine Learning: Moving from Talk to Walk?

November 21 2018 | by Lalithya Yerramilli in Health Analytics

There’s been plenty of talk about the potential of machine learning. Consider the following:

  • According to a report from Deloitte Global, large- and medium-sized enterprises will intensify their use of machine learning in 2018. The number of implementations and pilot projects using the technology will double compared with 2017, and that number will double again by 2020.1
  • Artificial intelligence in healthcare is expected experience a 40% compound annual growth rate (CAGR) between 2017 and 2024, resulting in a $10 billion market according to a Market Study report. Tools, services and platforms related to imaging analytics and diagnostics driven my machine learning are expected to surpass $2.5 billion by the middle of the decade.2

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