Brandon Ballinger

CEO, Cardiogram · 1 appearance on the record.

computed by AI from the episodes · how this works → · full disclaimer →

12statements → 11claims → 7claims resolved → 29%fully supported → 3.42/5average certainty → 1.75/5average debate potential →

2 supported 3 partly supported 2 contradicted 1 not yet assessed 3 not checkable as stated how the 11 claims stand · each chip opens the sources

4 predictions · 7 assertions · 1 insight · every statement was checked. The predictions and assertions are the 11 claims: statements the public record can support or contradict. 7 are resolved, 1 is not yet assessed, and 3 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Brandon argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

Assertion Supported
Ballinger: Doctors cannot diagnose sleep apnea from Fitbit data alone
“No doctor right now can read your Fitbit data and tell you whether you have a condition like sleep apnea.”
Brandon Ballinger Jan 2, 2019 ▶ 4:50 a16z Podcast | Putting AI in Medicine, in Practice

Their most notable contradicted claim

Assertion Contradicted
Ballinger: Only half of Americans have a primary care physician
“And if you look at that in aggregate, about half of people in the U.S. Have a primary care physician at all, which seems astonishingly low, but that's kind of the fact.”
Brandon Ballinger Jan 2, 2019 ▶ 8:58 a16z Podcast | Putting AI in Medicine, in Practice

Expressed certainty vs assessment result

none yet certainty 1
none yet certainty 2
50% certainty 3
50% certainty 4
none yet certainty 5

weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet

Everything Brandon Ballinger said on the a16z Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Insight
Ballinger: Misdiagnosis generates more hospital revenue under fee-for-service models
“If you think about kind of a hospital from the CFO's perspective misdiagnosis actually earns them more money. Because when you misdiagnose, you do follow-up tests, right? And those, and our billing system is fee-for-service. So every little test that's done is…”
Brandon Ballinger Jan 2, 2019 ▶ 2:58 a16z Podcast | Putting AI in Medicine, in Practice
Prediction Not checkable as stated
Ballinger: Healthcare will reorganize vertically around specialized AI data networks
“So this is a case where probably we'll see the healthcare industry maybe reconstitute itself by vertical. With AI-based diagnostics or therapeutics, because if you think right now providers are geographically structured, but with AI, every data point makes the…”
Brandon Ballinger Jan 2, 2019 ▶ 29:07 a16z Podcast | Putting AI in Medicine, in Practice
Prediction Not checkable as stated
Ballinger: Fee-for-value payment models will enable medical AI adoption
“Things like fee for value are interesting because now you're paying people for, say, an accurate diagnosis or for a reduction in hospitalizations, depending on the exact system, and so I think that's the case where actually accuracy is rewarded with greater pa…”
Brandon Ballinger Jan 2, 2019 ▶ 3:33 a16z Podcast | Putting AI in Medicine, in Practice
Assertion Supported
Ballinger: Doctors cannot diagnose sleep apnea from Fitbit data alone
“No doctor right now can read your Fitbit data and tell you whether you have a condition like sleep apnea.”
Brandon Ballinger Jan 2, 2019 ▶ 4:50 a16z Podcast | Putting AI in Medicine, in Practice
Assertion Contradicted
Ballinger: Only half of Americans have a primary care physician
“And if you look at that in aggregate, about half of people in the U.S. Have a primary care physician at all, which seems astonishingly low, but that's kind of the fact.”
Brandon Ballinger Jan 2, 2019 ▶ 8:58 a16z Podcast | Putting AI in Medicine, in Practice
Assertion Partly supported
Ballinger: Wearable device data like Fitbit data is globally standardized
“I think that's actually a nice thing about wearable data is that Fitbits are the same all over the world.”
Brandon Ballinger Jan 2, 2019 ▶ 17:10 a16z Podcast | Putting AI in Medicine, in Practice
Assertion Supported
Ballinger: Early Apple ResearchKit apps lost 90% of participants in 90 days
“The challenge that the first five ResearchKit apps had is that they got 40,000 people, and then they lost 90% of them in the first 90 days.”
Brandon Ballinger Jan 2, 2019 ▶ 19:39 a16z Podcast | Putting AI in Medicine, in Practice
Prediction Not checkable as stated
Ballinger: Full-stack healthcare provider startups will achieve fastest adoption
“I think that's a model that we're going to see probably get the quickest adoption.”
Brandon Ballinger Jan 2, 2019 ▶ 28:54 a16z Podcast | Putting AI in Medicine, in Practice
Assertion Partly supported
Ballinger: Stanford's 1978 MYCIN AI system outperformed five pathologists
“An interesting case study is, is the Meissen system, which is from 1978, I believe, and so this was an expert system trained at Stanford. It would take inputs that were just typed in manually, and then it would essentially try to predict what a pathologist wou…”
Brandon Ballinger Jan 2, 2019 ▶ 2:07 a16z Podcast | Putting AI in Medicine, in Practice
Assertion Contradicted
Ballinger: Most Americans do not get an EKG until age 65
“Most people actually in the U.S., you get your first D.K.G. When you turn 65 as part of your Medicare checkup.”
Brandon Ballinger Jan 2, 2019 ▶ 8:33 a16z Podcast | Putting AI in Medicine, in Practice
Assertion Partly supported
Ballinger: Large percentages of common medical conditions remain undiagnosed
“About a third of people with diabetes don't realize they have it. About a fifth of people with hypertension. For AFib, it's 30 or 40%. For sleep apnea, it's like 80%.”
Brandon Ballinger Jan 2, 2019 ▶ 9:08 a16z Podcast | Putting AI in Medicine, in Practice
Prediction Not publicly verifiable
Ballinger: Wearables will generate two trillion data points in 2017
“Wearables are an interesting case because they'll generate about Two trillion data points this year.”
Brandon Ballinger Jan 2, 2019 ▶ 13:46 a16z Podcast | Putting AI in Medicine, in Practice

Appearances (1)

EpisodeDateSpeaking time
a16z Podcast | Putting AI in Medicine, in Practice Jan 2, 2019 9m
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