Dr. Eric Topol is a geneticist, medical researcher, and author of Deep Medicine. He has written over 1100 peer-reviewed articles, and is one of the top most-cited medical researchers in the world.
He recently sat down with Mission CEO Chad Grills to talk about how A.I. and machine learning are putting the patient experience back at the forefront of healthcare. Dr. Topol also explains why you don’t actually own your own medical data, and what steps we need to take to get it back.
Here are some of the key insights Dr. Topol had during the interview.
Machines can improve the overall experience of a medical visit:
Today, the average time of a doctor visit is only 7 minutes. A.I. and machine learning will make it so that doctors have more time with their patients, and give them the space to treat each individual as an individual. Dr. Topol predicts that we will see doctors’ offices becoming not just paperless, but keyboardless as voice-to-text software continues to advance. He also believes that, by using technology, we will be able to save people from having to go through procedures that are often unnecessary and expensive. This usually happens because many routine checks aren’t personalized and some produces are done out of fear of medical malpractice. We have to get out of that mindset and start to use algorithms that can help us figure out what patients really need.
You Don’t Own Your Own Medical Data:
All of your health care data is collected and stored, but it’s not actually yours – and getting access to it can be a chore. In order to use A.I. to its maximum potential, we need to have all of our data to input into the system. That’s why it’s so important for you to have easy access to your data.
Today, healthcare systems think that they own your data. To fix this we need to:
1) Implement governmental legislation that states that people own their data, and that it can’t be sold without their knowledge and consent.
2) Build a technological solution — using maybe cloud or blockchain — that is user-friendly, searchable, and seamlessly integrated.
The Potential Drawbacks Of A.I. In The Medical Field:
While A.I. could be a game-changer in the medical world, there are risks and drawbacks that should be considered. One is that the accuracy of A.I.-generated medical predictions is still suspect. The technology is getting better, but there is still a lot of room to grow and improve.
To listen to the entire interview, click here.
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