{"id":36402,"date":"2018-11-13T20:02:16","date_gmt":"2018-11-14T01:02:16","guid":{"rendered":"https:\/\/digital.hbs.edu\/platform-rctom\/submission\/the-ai-doctor-will-see-you-now\/"},"modified":"2018-11-13T20:06:49","modified_gmt":"2018-11-14T01:06:49","slug":"the-ai-doctor-will-see-you-now-machine-learning-transforming-healthcare","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-rctom\/submission\/the-ai-doctor-will-see-you-now-machine-learning-transforming-healthcare\/","title":{"rendered":"The AI Doctor will see you now – Machine learning transforming healthcare"},"content":{"rendered":"

Machine learning has the power to fundamentally reinvent healthcare. In a world where industries have been radically transformed by technology – healthcare delivery continues to follow the traditional approach to rely heavily on doctors\u2019 ability to not only absorb humongous amounts of varied data but also correctly apply that to your complex personal context. As Vinod Khosla puts it, it\u2019s time to move beyond the stethoscope – which remains the iconic diagnostic tool for most healthcare professionals worldwide, 200 years after its invention.<\/span><\/p>\n

If you deep-dive into the problem, it really begins at the very onset of healthcare education. As data and research explode, it\u2019s challenging for the average doctor to catch up without technology. To the extent that studies show that \u201cStudents who graduate in 2020 will experience four doublings in knowledge. What was learned in the first 3 years of medical school will be just 6% of what is known at the end of the decade to 2020.\u201d This potentially explains why a 2013 study estimated that greater than 400,000 deaths a year were attributable to medical errors in the US. <\/span>Misdiagnosis and conflicting diagnoses are common challenges plaguing the current medical system – and while solvable, they tend to occur due to reasons so intrinsically human. A challenge, that technology can play a huge role in helping us overcome. On this note though, I find it important to highlight that the target for applying this megatrend to healthcare is not to eliminate doctors, but instead to leverage technology to overcome human deficiencies and amplify doctor\u2019s strengths through relevant insights.<\/span><\/p>\n

And as you read this, a U.K based startup Babylon Health, strives to make this ambitious vision a reality since the past two years. Ambitious indeed, given the skyhigh expense of engineers who\u2019re experts at building AI models – while the net return on this heavy investment could be simply a hit or miss. The startup\u2019s founder, Ali Parsa, calls it a major step towards his ambitious goal of putting accessible healthcare in the hands of everyone on the planet. \u201cFive billion people globally have no access to surgery. And without adequate primary care, a $10 problem becomes a $100 solution.\u201d But catch it early through intensive data analytics of Babylon\u2019s product, and the founder believes the company can stop an illness from becoming an expensive problem for a state provider like the National Health Service. Moreover, this technology driven assistant can enable doctors can spend their time way more efficiently. With the result that over time, providers such as NHS won\u2019t need to hire so many of them.<\/span><\/p>\n

Bablyon directly interact with the customer, \u00a0providing them access to its network of 250 doctors on video-call. To assist doctors in their diagnosis, the company also sells an AI software that helps investigate an ailment. It is this latter feature that Babylon has spent the last two years heavily investing in, so that his human doctors are freed up from note-taking and diagnosing common illnesses, and instead can focus their effort in analysing complex insights and looking after more complicated problems. \u201cYou don\u2019t need to see a doctor for every diagnosis, what you want is a treatment.\u201d And Bablyon\u2019s core is working on what goes behind the scenes in assisting the doctors to deliver this treatment with increased reliability and efficiency. <\/span><\/p>\n

And if this technology sounds far too ambitious or into the future – wait till you read this. In June this year, they challenged their product to the MRCGP exam, which trainee general practitioners take to test their ability to diagnose. And against the average passmark of 72% over the past five years, Babylon scored 82% – an uplifting milestone for the entire company. In terms of diagnosis, Babylon\u2019s digital doctor had proved itself at par with the average human doctor, \u00a0if not more.<\/span><\/p>\n

And while the company aspires for the grand long-term future, what does near future look like? Definitely not without its fair share of challenges. The AI doctor\u2019s journey has barely begun – and will only slowly evolve in sophistication – no different than any other great doctor who invests many years in training under best practitioners, even beyond the decade invested in learning at medical school. Our AI doctor would be no different. Similar to what we saw in the IBM Watson case, expect many laughing-stock attempts as this technology begins to grow from infancy. Early in their lifecycle they will be the butt of jokes from many – but let not that cloud your perception of the eventual power the technology holds. <\/span><\/p>\n

And now the company seeks to expand this product to assist doctors in the U.S. Would love to hear more about the key challenges you think this product could help solve in the US Market. <\/span><\/p>\n

The AI doctor, will see you now.<\/span><\/p>\n

(795)<\/p>\n

Khoslaventures.com. (2018).\u00a0\u201c20 Percent Doctor Included\u201d & Dr. Algorithm: Speculations and Musings of a Technology Optimist | Khosla Ventures<\/i>. [online] Available at: https:\/\/www.khoslaventures.com\/20-percent-doctor-included-speculations-and-musings-of-a-technology-optimist [Accessed 14 Nov. 2018].<\/p>\n

Olson, P. (2018).\u00a0This AI Just Beat Human Doctors On A Clinical Exam<\/i>. [online] Forbes. Available at: https:\/\/www.forbes.com\/sites\/parmyolson\/2018\/06\/28\/ai-doctors-exam-babylon-health\/#345f346f12c0 [Accessed 14 Nov. 2018].<\/p>\n

Heaven, D. (2018).\u00a0Your next doctor\u2019s appointment might be with an AI<\/i>. [online] MIT Technology Review. Available at: https:\/\/www.technologyreview.com\/s\/612267\/your-next-doctors-appointment-might-be-with-an-ai\/ [Accessed 14 Nov. 2018].<\/p>\n

TechCrunch. (2018).\u00a0Babylon Health raises further $60M to continue building out AI doctor app<\/i>. [online] Available at: https:\/\/techcrunch.com\/2017\/04\/25\/babylon-health-raises-further-60m-to-continue-building-out-ai-doctor-app\/ [Accessed 14 Nov. 2018].<\/p>\n

Futurism. (2018).\u00a0Your future doctor may not be human. This is the rise of AI in medicine.<\/i>. [online] Available at: https:\/\/futurism.com\/ai-medicine-doctor [Accessed 14 Nov. 2018].<\/p>\n","protected":false},"excerpt":{"rendered":"

Machine learning has the power to fundamentally reinvent healthcare. In a world where industries have been radically transformed by technology – we watch technology finally slowly, but steadily disrupt healthcare delivery. 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