Chapter 5
Healthcare/HMOs: Streamlining Operations
IN THIS CHAPTER
Understanding how the explosive growth in data affects healthcare
Discovering how AI can improve healthcare access, cost, and quality
Pairing AI techniques with the issues they address
Exploring healthcare use cases for AI
In the last five decades, public and private healthcare spending in the U.S. has risen from 6.9 percent of the gross domestic product (GDP) in 1970 to 17.9 percent of GDP in 2017, according to data from the Centers for Medicare and Medicaid Services. But that increase pales in comparison to the growth of healthcare data. In 2013, the healthcare system produced 153 exabytes of new data. IDC estimates that by 2020, healthcare will generate 2,314 exabytes of data, a compound annual growth rate (CAGR) of 48 percent, effectively doubling every two years.
Fortunately, AI-powered healthcare projects have made great advances in increasing access to healthcare, decreasing costs, and improving quality.
Surfing the Data Tsunami
The explosive growth of data in healthcare poses a significant challenge for ...
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