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Technology and Artificial Intelligence, An Age of Disruption Part III

Technology and Artificial Intelligence, An Age of Disruption Part III

Last month I wrote about the rapidly growing use of technology and AI (Artificial Intelligence) in our industry.  From Carebots to nanobots, we are seeing an evolution that human kind has never experienced.  We are told that the hunter/gather age lasted for several million years, the agricultural about 2 thousand years, the industrial age two centuries and the technological age about 4 decades.  We are now moving into an augmented/AI age much of it already upon us.

We all have heard of and now seen self-driven cars.  Groceries and other stores are beginning to experiment with cashier-less store.  Grocery delivery will also play a large part in the coming changes that allow compromised individuals to remain in their home and be as independent as possible.  Imagine the near future where your patient can call a self-driven care to take them to their appointments. They can order their meals or groceries from their phone, have an app on their phone that will call them with the results of their tests, and explain what they are, and if necessary make an appointment with the appropriate care provider.

“Artificial Intelligence “is rewiring our modern conception of healthcare delivery,” according to a new Accenture report that shows an array of clinical AI applications are already well on their way to saving the industry $150 billion over the next 10 years.”  Healthcare news 2017

The technology represents “a significant opportunity for industry players to manage their bottom line in a new payment landscape,” according to the report, which examined 10 different AI applications, ranked by their potential for cost savings:

  • Robot-assisted surgery – $40 billion
  • Virtual nursing assistants – $20 billion
  • Administrative workflow assistance – $18 billion
  • Fraud detection – $17 billion
  • Dosage error reduction – $16 billion
  • Connected machines – $14 billion
  • Clinical trial participant identifier – $13 billion
  • Preliminary diagnosis – $5 billion
  • Automated image diagnosis – $3 billion
  • Cybersecurity – $2 billion

“As these, and other AI applications gain more experience in the field, their ability to learn and act will continually lead to improvements in precision, efficiency and outcomes,” said Accenture researchers.

Click Hear To learn more in-depth about some of these changes.

Category: Blog

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