Duke-Margolis

@DukeMargolis

Improving health and the value of health care by developing and implementing evidence-based policy solutions locally, nationally, and globally.

Durham, NC and Washington, DC
Vrijeme pridruživanja: veljača 2016.

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  1. 23. sij

    And that’s all for now folks. Thanks for joining us today! You can find meeting materials and a recording of the webcast here:

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  2. 23. sij

    Moderator Arti Rai with a question for the panel: "If you were to claim a training model, what kind of disclosure would you need to have?"

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  3. 23. sij

    "Should we have a type of database protection or incentive here? I would say it depends on the context." - Kate Gaudry

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  4. 23. sij

    "You should be able to make your algorithm work on less and less data, or worse and worse data. Essentially, you should be able to retest to prove the value of your AI product." - Brigham Hyde

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  5. 23. sij

    "We are in a true information age. Though some things are kept as trade secrets, there is a need to share and exchange information." - Michele Conover

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  6. 23. sij

    "The choice and tuning of the algorithmic model (how you're setting it up), the weighting of the features, and the feature selection are where a lot of trade secrecy lives in companies that I've been involved in." - VC Brigham Hyde

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  7. 23. sij

    "Patenting prospects of software and innovations have been volatile in the US." - Kate Gaudry

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  8. 23. sij

    "Developers/VCs consider reproductive information as a core advantage that they may not want to disclose to regulatory agencies like FDA." - Arti Rai

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  9. 23. sij

    "We feel strongly that patent rights are the preferable way of incentivizing innovation in this area because, if people keep trade secrets, we won't have an exchange of information." - Coke Stewart

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  10. 23. sij

    Now for Session II - The Role of Innovation Incentives for in moderated by Arti Rai . Here we will delve into the role that and play, as well as how regulation affects innovation.

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  11. 23. sij

    "What about an machine that contributes to a new diagnostic process? Should they be listed as an inventor?" - Laura Peter

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  12. 23. sij

    Keynote speaker Deputy Director Laura Peter on Blazing a Trail Together for the Next Revolution - "Can an entity other than a natural person be an inventor on a US patent?"

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  13. 23. sij

    And we're back! Arti Rai kicks things off with a few quick remarks on trade secrecy and .

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  14. 23. sij
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  15. 23. sij

    Question from the audience: "For those who are poor and don't have robust health records, there is going to be a gap for those seeking care due to incomplete data being fed into algorithms. What happens then?"

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  16. 23. sij

    "There is a biased set of inputs that these systems are being trained on. It's important to think of what would bias look like in the outputs, and how do we look for these anomalies during testing." - Carey Morewedge

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  17. 23. sij

    Moderator Mark McClellan with a question to the panel: "How do you fail gracefully? There are going to be imperfections and mistakes along the way-- how do you account for them?"

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  18. 23. sij

    "Working on getting autonomous to patients helps lower costs, improve quality, and improve access." - Michael Abramoff

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  19. 23. sij

    "Patients tend to be fine with an system providing input as long as there is a human verifying the output, and allowing adopters to have a modicum of control increases uptake. - Carey Morewedge

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  20. 23. sij

    "Always approach this issue by asking how the AI system would function at the point-of-care. If you are a large health system, it is quite different than if you are a small practice. We don't want to worsen health disparities." - Kathleen Blake

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