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A few more thoughts about the Mayo announcement.
Read more in the @HealthLeaders article by Mandy Roth:
"Mayo Clinic Designs Novel Data Privacy Model; Announces Venture to Accelerate Drug Discovery"
http://bit.ly/370GcnG
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3/ First... The Mayo announcement is a BFD among BFDs. Let me repeat that. The Mayo announcement is a BFD among BFDs.
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4/ Caveat: not easy to wrap your head around this.
@bertcmiller &@GYNOBioethicist wrote about the technological possibilities in@THCBstaffhttp://bit.ly/2QmDvXRPrikaži ovu nit -
5/ They posed a provocative question: "What if there was a way for you to allow others to learn from your data without compromising your privacy?" The Mayo project promises to do exactly that.
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6/ Here are a few more details about the Mayo project (from the
@HealthLeaders article): * partnership with@_nference * Reidentification is prohibited * Mayo data cannot be combined with data from other sourcesPrikaži ovu nit -
7/ * From the article: "As the healthcare industry struggles to find a BALANCE between the desire for innovation and the need to protect patient data" The word "balance" implies that there is an inherent tradeoff between innovation & data protection. IMO, ain't necessarily so.
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8/ I'd rephrase: As the healthcare industry struggles to OPTIMIZE the desire for innovation and the need to protect patient data. "OPTIMIZE" suggests a need to maximize BOTH innovation & data protection and that there isn't necessarily a tradeoff
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9/ * Use only deidentified patient data * Use independent experts to certify that the data has been fully deidentified. * All parties are prohibited from pooling Mayo Clinic data with other data sources, such as consumer financial or geolocation data.
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10/ * Eliminate the possibility of reidentification by employing a federated learning model. While others can query the data set, Mayo Clinic retains full possession of it and only sends participants the results. re: "federated" tech, seehttp://bit.ly/2QmDvXR
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11/ more info on "federated" concept: http://bit.ly/2ZS08WI * Mayo Clinic's role in the process will be to piece together disease phenotypes and determine how to treat subpopulations of patients differently
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12/ Recall when
@WSJ revealed details of Ascension deal w/ Google -- that patient ID would be shared: * Outcries from privacy advocates * Lashings from legislators & regulators * Fed investigation by OCRPrikaži ovu nit -
13/ I'd like to be a mouse in the corner when the Ascension CEO asks the CIO: "Why didn't we do our deal with Google like Mayo did?"
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14/ Let's think a bit further about the Mayo/ @_nerence partnership (federated learning model) & value creation/capture dynamics. Strikes me that big tech co.s are unlikely to lead a march toward federated learning models.
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15/ Why? Current big tech business model is one of surveillance. Gather as much data as you can, analyze, profile. Rinse, repeat. Federated learning changes power dynamic between health system & big tech co.s
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16/ For a health system like Mayo that can negotiate a deal to keep patient data private, they have much greater opportunity BOTH to create & capture value from data. This doesn't appear to be lost on Mayo and
@MayoInvents.Prikaži ovu nit -
17/ Remains to be see how many health systems have the foresight, brand, resources, hutzpah like Mayo to negotiate a federated learning model (or blockchain, or ??) with big tech co.s. Stay tuned.
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18/ Strikes me that it would be smart for ALL health systems immediately to shift to insisting on federated learning models in their deals with big tech co.s: * Opportunity for health systems to create/capture the value from data
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19/ * The more health systems that did this, the less influence for big tech co.s Expect pushback from big tech co.s that want unfettered access to & use of data.
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20/ More details on Mayo federated learning model |
@FierceBiotech The project aims to digitize 25 million pathology slides within the next 2 1/2 years, which would provide the single largest source of labeled medical data in the world -- per@_nference co-founder@in4encePrikaži ovu nit -
21/ “Platform business models have been a force of disruption in many sectors" --
@jhalamka Notable that@MayoClinic focus is shifting to biz models, not just platform techologiesPrikaži ovu nit -
22/ I'm thinkin' that Joe-the-Plumber hasn't yet figured out how transformative this
@MayoClinic /@MayoInvents federated learning model could be.Prikaži ovu nit -
23/ John Halamka (
@jhalamka ), President of Mayo Clinic Platform, posted his own take on their federated learning model: "Cloud-hosted, de-identified, federated learning in which the tools are brought to the data instead of sending data to the tools" http://geekdoctor.blogspot.com/2020/01/a-new-model-for-sharing-insights-while.html …Prikaži ovu nit -
24/ Thinking out loud re: further possible implications of
@MayoClinic platform partnership w/@_nference. Q. What biz model(s) could maximize potential for network effects, especially DATA network effects?Prikaži ovu nit -
25/ What are "data network effects"? "When a product’s value increases with more data, and when additional usage of that product yields data..."http://bit.ly/3aDWlBJ
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26/ Consider alternative federated learning models: a) AI/ML algorithms can be run on one provider's data -- likely a few million patients b) AI/ML algorithms can be run on multiple providers' data -- possibly HUNDREDS OF MILLIONS of patients over time c) ??
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27/ Data network effects will grow exponentially based on number of patients. Could be especially important where n of patients is very low, e.g. rare diseases (HT
@bertcmiller ) My hypothesis (speculation) is that win/win biz model is (b). Why?Prikaži ovu nit -
28/ From deals announced so far that I've seen, big tech co. (e.g.
@Google) partnering w/ providers has been prohibited from combining one provider's data w/ another. I infer due to: * fear of PR backlash * lack of trust of big tech co. * lack of using a FL model? * other?Prikaži ovu nit -
29/ BUT...if the "network" was viewed as controlled by Mayo -- using FL tech -- IMO there's potential for higher level of trust and potential for combining data ACROSS providers. A win/win biz & clinical model? Speculative for now but potential is there.
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30/ Also worth thinking about biz model implications from Mayo partner POV, i.e,
@_nference. Do they have an opportunity to be a hub/platform across networks of patient data? The co. secured a $60 M earlier this month, including@MayoInventsPrikaži ovu nit -
31/ We don't know the terms of the investment or the terms of the contract between
@_nference &@MayoClinic, so it's hard to speculate. ...but worth keeping an eye on this.Prikaži ovu nit - Još 2 druga odgovora
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