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According to a June 2018 ABI Research report, the number of patient monitoring devices, which also includes AI for home-based preventative healthcare that use data to train AI models for predictive analytics will be 3.1 million in 2021, up from 53,000 in 2017. That connectivity is predicted to save hospitals around $52 billion in 2021.

In an article in Forbes on June 8, 2018, Andrew Gantt said, "We now have exponential increases in digital healthcare data due to the internet, electronic health records, personal health records, cellphones, wearable devices, digital medical devices, sensors and many other factors. This data will fuel algorithmic solutions, clinical decision support tools, and visual tools in the near term."

Gantt says that healthcare businesses should focus on using AI technology to solve problems, uncover value, promote their mission and create competitive advantage rather than merely using it for technology's sake or to have the latest thing.

According to Gantt, there's enormous untapped value in data already in hospitals possession to promote the hospital's mission.

"Hospitals and other businesses that collect significant amounts of data should have a data business plan, even if only for internal, noncommercial purposes," said Gantt. "AI can augment analysis of this data," said Gantt. "Healthcare businesses should focus on using AI technology to solve problems, uncover value, promote their mission and create competitive advantage rather than simply using it for technology's sake or to have the latest thing."