wm25

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Using machine learning to bend the healthcare cost curve
wm25
Last modified on November 13, 2018 at 6:10 pm
EHR and billing services provider athenahealth uses machine learning to automate administrative tasks - how can they use their unique market position to add more value for their clients?

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On November 14, 2018, wm25 commented on Printing Bone: How Should Orthopaedic Surgery Practices React to Advancements in 3D Printing? :

Great paper. I totally see the potential of 3-d manufacturing in orthopaedics. My question is whether — given the flexibility of additive manufacturing — we can use this technology not just to replace human bones but to augment them. Could we make bouncier feet? Stronger hips? Is this something that we as humans should even be trying to do?

On November 14, 2018, wm25 commented on Predicting your casualties – how machine learning is revolutionizing insurance pricing at AXA :

Great paper – I agree that better underwriting can generate a sustainable advantage for an insurance company. I wonder about the social implications of putting trackers and cameras in every car. Would the resulting underwriting become more discriminatory (like the pre-ACA U.S. health insurance system where insurers were denying patients based on pre-existing conditions)? Are there other concerns with a private corporation having a comprehensive record of every driver’s activity data?

On November 14, 2018, wm25 commented on Solving the Opioid Crisis through Crowdsourcing Contests: HHS’s Opioid Code-a-Thon :

Very interesting ideas, and such a fundamental problem for our healthcare system. I would argue that the U.S. government already has a framework for crowdsourcing solutions to problems like this – they do it all the time in military procurement as well as some civilian agencies. The military routinely puts out specifications for the function of the technology that it would like to procure and then solicits bids for many different approaches.
This structure is increasingly being applied to social problems like the opioid epidemic with something called a “social impact bond” where the government agrees to pay a fixed price for a given social outcome.

On November 14, 2018, wm25 commented on Open Innovation in the NFL: Player Safety :

Very interesting article, and I think this is a super important problem. The benefits of open innovation here are clear: crowdsourced ideas generate more variance (which is valuable as we’ve discussed in TOM) and come from people with an external perspective. Going forward, I wonder whether the NFL could continue to use this principle of open innovation to apply to other areas of player safety. For example, could the NFL crowd-source potential rules changes and the testing of those changes? Or could the NFL ask for high school and college teams to submit head impact data on all of their players to further study the effects of playing football on players before they even get to the pros?

On November 14, 2018, wm25 commented on Sales=MC2: Salesforce’s Attempt to Democratize Artificial Intelligence :

I love the concept of democratizing access to machine learning tools. One of the concerns about machine learning is that it will increase income inequality as the largest, most successful corporations are able to deploy these tools and further out compete small businesses. For this reason, I think tools that make AI easily accessible and usable by small businesses (like Einstein) are extremely important. There are still obviously kinks to work out (especially demonstrating ROI for customers!) but the potential of this technology is very high.

On November 14, 2018, wm25 commented on Brooks Running: Personalized Running Shoes for the Mass Market? :

This is a very interesting essay. As a runner I personally would love to have a shoe that is tailored to my running style. I do, however, agree with the thought behind your question at the end of the essay: I am skeptical that additive manufacturing will ever be able to produce shoes with the same cost basis as more traditional manufacturing processes. Additionally, I would be curious whether scientists have a good enough understanding of biomechanics to truly personalize shoes for each individual. It seems to me that many of these “customized” products are really just 2-3 different SKUs.

On November 14, 2018, wm25 commented on 3D-Printing: A Nuclear weapon for startups willing to disrupt the vending machine business. :

This is a very interesting and well-written essay. I completely agree that 3-d printing provides an important avenue to allow companies to iterate quickly on manufacturing concepts. This flexibility allows them to both test things that wouldn’t otherwise be possible, and test them much more quickly than they could if they were relying on other forms of fabrication.
The one question I would raise, however is whether 3-D printing is viable at scale. In your essay, you imply that Centimo could use 3-D printing to fabricate all of its products and product lines. I would be very curious to better understand the unit economics of manufacturing in this way. I would guess (though I don’t know) that 3-d printing does not generate the same economies of scale as traditional production mechanisms. If this is true, 3-D printing would primarily remain a tool for internal iteration on a concept, rather than a technique for mass-production.