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Prikvačeni tweet
We'd like to help fix the bias we found in algorithms used for population health. And we'd love help from a few friends to spread the word!
@kit_delgadoMD@RachelRamoni@amitabhchandra2@sacjai@JMichaelMcW@suchisaria@kevin_volpp@AnupamBJena@Cutler_econ@leorahorwitzmdhttps://twitter.com/m_sendhil/status/1189202733770760192 …
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Ziad Obermeyer proslijedio/la je Tweet
Last night in the ED, wondering which of three patients to pick up, I pondered whether they could be auto assigned, or their cc blinded. And the next morning, I am treated to an excellent related analysis by
@oziadias oziadiashttps://twitter.com/oziadias/status/1221531710820454400 …
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And while she is Twitter-less, I should say that this work was led and carried out entirely by my fabulous colleague CJ Chang
@BrighamResearchPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Fact 4: These differences across docs are far less pronounced on the overnight shift. There's often only 1 doc working overnight—in which case, you don’t get to choose your patients.pic.twitter.com/NBWv765Ilp
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But some docs like to see chest pain; other like to see toe pain. Those patients won’t cost the same, even if there were *no* practice variation across docs. Adjusting for that, the rankings change a lot. E.g., 77% of docs get reassigned to a new cost quintile.pic.twitter.com/43fNi42X0U
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Fact 3: A lot of what we consider “practice variation” across docs may be variation in *preferences*. Take cost variation as an example. Let’s first rank all the docs in our sample by their average cost per patient (in quintiles).
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Fact 2: Docs’ preferences change over the course of a clinical shift. Towards the end of their shift, they prefer to take simpler, more straightforward cases.pic.twitter.com/fjNAG4LIA7
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Interlude: Emergency docs who let patients sit on the board without signing up, I’M LOOKING AT YOU. We all know who you are.
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Fact 1: Some emergency docs like to see older/sicker patients, others like to see younger/simpler patients. This happens because there’s often >1 doc working in the ER. So when a patient pops up on the board, docs can choose to sign up... or wait for a colleague to sign up.pic.twitter.com/8oCbdHMeMZ
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You can’t pick your doctor in the ER. But your doctor can pick you. Two implications: 1) A lot of "practice variation" may be *preference* variation 2) Don't assume "as-if-random assignment" to docs Thread on a new, short
@JAMANetworkOpen paper https://tinyurl.com/w8bqqkj pic.twitter.com/z0jlnocP3q
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Ziad Obermeyer proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Ziad Obermeyer proslijedio/la je Tweet
Cross sectional study finds emergency physicians prefer to see different types of patients, accounting for a substantial part of practice variation https://ja.ma/36iLMQM
@oziadiasHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ziad Obermeyer proslijedio/la je Tweet
Prediction: getting mass spectrometry to the standardized, streamlined place where DNA sequencing is right now would have at least 10X the effect that sequencing has had. It is such a cool piece of technology with endless applications
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Ziad Obermeyer proslijedio/la je Tweet
Shameful lack, non-compliance of reporting of clinical trials by academic medical centers https://www.sciencemag.org/news/2020/01/fda-and-nih-let-clinical-trial-sponsors-keep-results-secret-and-break-law …
#openaccess@sciencemagazine by@cpiller comparison with industry strikingpic.twitter.com/5aXMIvjGvQ
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Ziad Obermeyer proslijedio/la je Tweet
Building on great work by
@oziadias, racial bias is one of many biases unintentionally baked into risk scores. how, why, and a way forward.#valuebasedcare#vbchttps://twitter.com/Health_Affairs/status/1217485343366115329 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ziad Obermeyer proslijedio/la je Tweet
Jenna Wiens,
@msjoding, & I have a short@NatureMedicine commentary just out discussing the terrific@oziadias et al.@sciencemagazine piece on bias in medical AI. Using proxies to train AI can result in NASTY bias problems; getting labels right is key.https://www.nature.com/articles/s41591-019-0726-6 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ziad Obermeyer proslijedio/la je Tweet
Where are all the complaints of headaches and nausea?? Chinese Restaurant Syndrome my ass.https://twitter.com/TIME/status/1216913575454945280 …
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Ziad Obermeyer proslijedio/la je Tweet
More middle-aged people are dying from heart disease and strokes, even in unlikely places. https://www.wsj.com/articles/heart-disease-strikes-back-across-the-u-s-even-in-healthy-places-11579015880?shareToken=sta3fe88c4ed174bd58e099e84cc9659b8 … via
@WSJHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ziad Obermeyer proslijedio/la je Tweet
Interesting new JEBO paper by Lin and
@NicolasZiebarth exploits variation in sleep due to daylight savings time, and finds that extra sleep reduces hospitalizations by ~8% for up to a week afterwards.pic.twitter.com/sW9ika7dtn
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Even better idea: Be the kind of patient who gets your surgery scheduled for a Monday.https://twitter.com/Mangan150/status/1215413621624209408 …
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Ziad Obermeyer proslijedio/la je Tweet
You: This one untested supplement will restore balance to my body Your body:pic.twitter.com/pJjvk3E44v
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