A couple weeks ago, I went to the doctor to go over some test results. All was well \u2014 spectacularly average, even. But there was one part of the appointment that did take me by surprise. After my doctor gave me advice based on my health and age, she turned her computer monitor towards me and presented me with a colorful dashboard filled with numbers and percentages.<\/p>\n
At first, I wasn\u2019t quite sure what I was looking at. My doctor explained that she entered my information into a database with millions of other patients, just like me \u2014 and that database used AI to predict my most likely outcomes. So there it was: a snapshot of my potential health problems.<\/p>\n
Usually I\u2019m skeptical when it comes to AI. Most Americans are<\/a>. But if our doctors trust these large language models, does that mean we should too?<\/p>\n Dr. Eric Topol thinks the answer is a resounding yes. He\u2019s a physician scientist at Scripps Research who founded the Scripps Research Translational Institute, and he believes that AI has the potential to bridge the gap between doctors and their patients.<\/p>\n \u201cThere\u2019s been tremendous erosion of this patient-doctor relationship,\u201d he told Explain It to Me, Vox\u2019s weekly call-in podcast.<\/p>\n The problem is that so much of a doctor\u2019s day is taken up by administrative tasks. Physicians function as part-time data clerks, Topol says, \u201cdoing all the records and ordering of tests and prescriptions and preauthorizations that each doctor saddled with after the visit.\u201d<\/p>\n \u201cIt\u2019s a horrible situation because the reason we went into medicine was to care for patients, and you can\u2019t care for patients if you don\u2019t have enough time with them,\u201d he said.<\/p>\n Topol explained how AI could make the health care experience more human on a recent episode of Explain It to Me. Below is an excerpt of our conversation, edited for length and clarity. You can listen to the full episode on Apple Podcasts<\/a>, Spotify<\/a>, or wherever you get podcasts<\/a>. If you\u2019d like to submit a question, send an email to askvox@vox.com or call 1-800-618-8545.<\/p>\n Why has there been this growing rift in the relationship between patient and doctor? <\/p>\n If I were to simplify it into three words, it would be the \u201cbusiness of medicine.\u201d Basically, the squeeze to see more patients in less time to make the medical practice money. The way you can make more profit with lessening reimbursement was to see more patients do more tests.<\/p>\n You\u2019ve literally written a book about how AI can transform health care, and you say this technology can make health care human again. Can you explain that idea? Because my first thought when I hear \u201cAI in medicine\u201d is not, \u201cOh, this will fix it and make it more intimate and personable.\u201d <\/p>\n Who would have the audacity to say technology could make us more human? Well, that was me, and I think we are seeing it now. The gift of time will be given to us through technology. We can capture a conversation with patients through the AI ambient natural language processing, and we can make better notes from that whole conversation. Now, we\u2019re seeing some really good products that do that in case there was any confusion or something forgotten during the discussion. They also do all these things to get rid of data clerk work.<\/p>\n Beyond that, patients are going to use AI tools to interpret their data, to help make a diagnosis, to get a second opinion, to clear up lots of questions. So, we\u2019re seeing on both sides \u2014 the patient side and the clinician side. I think we can leverage this technology to make it much more efficient but also create more human to human bonding.<\/p>\n Do you worry at all that if that time gets freed up, administrators will say, \u201cAlright, well then you need to see more patients in the same amount of time you\u2019ve been given?\u201d<\/p>\n I have been worried about that. If we don\u2019t stand together for patients, that\u2019s exactly what could happen. AI could make you more efficient and productive, so we have to stand up for patients and for this relationship. This is our best shot to get us back to where we were or even exceed that.<\/p>\n What about bias in health care? I wonder how you think of that factoring into AI?<\/p>\n Step No. 1 is to acknowledge that there\u2019s a deep-seated bias. It\u2019s a mirror of our culture and society.<\/p>\n However, we\u2019ve seen so many great examples around the world where AI is being used in low socioeconomic, low access areas to give access and help promote better health outcomes, whether it be in Kenya for diabetic retinopathy, and people that never had that ability to be screened or mental health in the UK for underrepresented minorities. You can use AI if you want to deliberately help reduce inequities and try to do everything possible to interrogate a model about potential bias.<\/p>\n Let\u2019s talk about the disparities that exist in our country. If you have a high income, you can get some of the best medical care in the world here. And if you do not have that high income, there\u2019s a good chance that you\u2019re not getting very good health care. Are you worried at all that AI could deepen that divide?<\/p>\n I am worried about that. We have a long history of not using technology to help people who need it the most. So many things we could have done with technology we haven\u2019t done. Is this going be the time when we finally wake up and say, \u201cIt\u2019s much better to give everyone these capabilities to reduce the burden that we have on the medical system to help care for patients?\u201d That\u2019s the only way that we should be using AI and making sure that the people who would benefit the most are getting it the most. But we\u2019re not in a very good framework for that. I hope we\u2019ll finally see the light.<\/p>\n What makes you so hopeful? I consider myself an optimistic person, but sometimes, it\u2019s very hard to be optimistic about health care in America. <\/p>\n Remember, we have 12 million diagnostic errors a year that are serious, with 800,000 people dying or getting disabled. That\u2019s a real problem. We need to fix that. So for those who are concerned about AI making mistakes, well guess what? We got a lot of mistakes right now that can be improved. I have tremendous optimism. We\u2019re still in the early stages of all this, but I am confident we\u2019ll get there.<\/p>\n","protected":false},"excerpt":{"rendered":"A couple weeks ago, I went to the doctor to go over some test results. 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