The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 12 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Park: Healthcare professionals deeply mistrust the machine learning community
“If you talk to any, ah, any people in the healthcare industry, ah, they have a lot of big, ah, mistrust to the machine learning communities.”
Park: Healthcare requires designing a new ML paradigm from scratch
“It's more about designing a new paradigm in machine learning from scratch.”
Park: Precision medicine is just the tip of the iceberg
“Precision medicine is actually a very, ah, tip of iceberg, which is, ah, actually a much larger stream of, ah, revolution in healthcare, ah, which is called a personalized healthcare.”
Park: Naive ML models fail in healthcare due to patient bias
“Some people may think this is a very simple machine learning problem. Like, okay, so let's grab some data, analyze it, and then build some sort of model to predict their cost and outcomes, and let's just apply in the reality. Without knowing the fact that the …”
Park: Post-discharge optimization fits poorly into standard ML frameworks
“This problem cannot be easily cast into a classification regression problems. Ah, it's not like a traditional machine learning framework.”
Park: Personalized healthcare extends to benefit plans and financial incentives
“So what I'm saying here is, ah, every axis, all the components in the healthcare can be personalized. It's not just about the treatment and prevention. It's, ah, it's about, like, service bundle. It's about the benefit plan. It's about the financial incentives…”
Park: Crawling scientific literature can model healthcare counterfactuals
“Actually, you can crawl all the scientific articles about because they already performed the cohort studies, A-B testing, all those things. You can analyze all those Of previous studies. And use those things to make to answer the what if questions to the, for …”
Park: Traditional ML yields more questions than answers in healthcare
“I tried a lot of those kind of traditional machine learning algorithms to those data sets to solve the real problem to it. Usually, it gives more questions than answers.”
Park: Doctors require ML outputs to be explainable and scientifically grounded
“They always want to understand why machine is producing this kind of output to all those things, and it needs to be scientifically grounded.”
Park: Surgeons are performing knee replacements on much sicker patients
“Ah, traditionally, ah, knee replacement was done for only healthy patients, but now actually, ah, they're, ah, being more aggressive They are performing a knee replacement procedures to a very sick patients, too.”
Park: Healthcare provider and payer incentives are completely undocumented
“Actually, those, all those informations are not very documented. Actually, not documented at all. How they're incentivized, how they work, why they are doing that, all those things.”
CMS bundled payments hold hospitals accountable 90 days post-surgery
“So in the early summer of this year, CMS, the largest payer in the nation, proposed a new formal bundled payment for joint replacement. Now hostels are accountable for all the events. All the events during the 90 days after knee and hip replacement surgery.”