Anil Sethi

Founder and CEO, Selfiie · 1 appearance on the record.

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founderexecutiveinvestorselfiie.com ↗

Anil Sethi is a serial health-tech entrepreneur and the founder and CEO of Selfiie. He previously founded Gliimpse, which Apple acquired to create Apple Health Records, and founded Ciitizen to help patients access and share fragmented health data.

10statements → 9claims → 5claims resolved → 60%fully supported → 4.1/5average certainty → 2/5average debate potential →

3 supported 2 partly supported 0 contradicted 4 not checkable as stated how the 9 claims stand · each chip opens the sources

3 predictions · 6 assertions · 1 insight · every statement was checked. The predictions and assertions are the 9 claims: statements the public record can support or contradict. 5 are resolved, and 4 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 Anil 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

Sethi: Apple Health Records is built on acquired Glimpse technology

“Tanya used Glimpse, which is a former company. Apple acquired it in a transaction, and some of the health records that we see them releasing it to the world, Is some of that technology.”

Anil Sethi Jan 17, 2019 ▶ 13:36 a16z Podcast | Dark Data in Healthcare

Expressed certainty vs assessment result

none yet certainty 1

none yet certainty 2

none yet certainty 3

88% certainty 4

50% 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

How they sound: speaking style how? →

223 words/min while actually speaking · 0.9 um and uh per 1k words

No argument clarity score for Anil Sethi: no usable question→answer exchanges on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.

Measured by listening to 2,140 words across 1 episode, but every recording we have of Anil Sethi is the aired feed, and an editor cleaned that audio before release. Some of the hesitation was cut before we ever heard it, so read these as floors: the true rates are at least this high. These are measurements of speaking style, not scores. How it's measured →

What they said10 Episodes1

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

Assertion Partly supported

Sethi: Patients can legally demand their medical records via API or email

“Patients are actually outside of HIPAA, so you can ask, as a patient, a HIPAA-qualified entity to do something for you and share your information, whether it's through an API or whether it's through a PDF or email, and they have to do it.”

Anil Sethi Jan 17, 2019 ▶ 9:53 a16z Podcast | Dark Data in Healthcare

Assertion Supported

Sethi: Apple Health Records is built on acquired Glimpse technology

“Tanya used Glimpse, which is a former company. Apple acquired it in a transaction, and some of the health records that we see them releasing it to the world, Is some of that technology.”

Anil Sethi Jan 17, 2019 ▶ 13:36 a16z Podcast | Dark Data in Healthcare

Assertion Partly supported

Sethi: Over 90% of clinical trials fail to recruit enough patients

“Most clinical trials, upwards of 90% or worse, don't get filled, and it's because there's no frictionless way for a clinical trial's inclusion-exclusion criteria to detect a candidate patient.”

Anil Sethi Jan 17, 2019 ▶ 27:17 a16z Podcast | Dark Data in Healthcare

Assertion Not checkable as stated

Sethi: Top EHR vendors hold only 6% of individual digital health data

“If you took the top few vendors For electronic health records, and you reduce the entire U.S. Population down to those vendors. Those vendors, in aggregate, will hold about six percent of all data being generated digitally on you today.”

Anil Sethi Jan 17, 2019 ▶ 30:23 a16z Podcast | Dark Data in Healthcare

Prediction Not checkable as stated

Sethi: Retiring boomers will be far more engaged in their healthcare

“So people are going to retire and become more engaged than their parents were in their own health care.”

Anil Sethi Jan 17, 2019 ▶ 5:04 a16z Podcast | Dark Data in Healthcare

Insight

Sethi: Health data products must target highly self-incentivized patient groups

“We actually think in order to operationalize health data, you have to find self-incentred people, and that is cancer patients, lupus, HIV, autoimmune disease.”

Anil Sethi Jan 17, 2019 ▶ 14:07 a16z Podcast | Dark Data in Healthcare

Assertion Supported

Sethi: Most released medical data is unstructured documents, not coded data

“Most of the information that's released is not in any coded form. It's documents and PDFs and XML files.”

Anil Sethi Jan 17, 2019 ▶ 15:50 a16z Podcast | Dark Data in Healthcare

Assertion Supported

Sethi: Cancer pathology data remains inaccessible through standard electronic health APIs

“A lot of the cancer information is in the pathology report which doesn't come out of APIs yet.”

Anil Sethi Jan 17, 2019 ▶ 16:01 a16z Podcast | Dark Data in Healthcare

Prediction Not checkable as stated

Sethi: Digital health data fragmentation will outpace EHR vendor consolidation

“Even if there's a consolidation of vendors in the marketplace, which we predict there will be, and I think that's going to be a good thing, the consolidation is going to be outstripped by the runaway fragmentation in digital data.”

Anil Sethi Jan 17, 2019 ▶ 30:52 a16z Podcast | Dark Data in Healthcare

Prediction Not checkable as stated

Sethi: Longitudinal health data will become far more important than episodic data

“Longitudinal data is going to become ever more important as compared to episodic data. And that's because we're moving from acute care to chronic care.”

Anil Sethi Jan 17, 2019 ▶ 25:47 a16z Podcast | Dark Data in Healthcare

Appearances (1)

Episode	Date	Speaking time
a16z Podcast \| Dark Data in Healthcare	Jan 17, 2019	11m

Anil Sethi

The record, in short

Their most notable supported claim

Expressed certainty vs assessment result

How they sound: speaking style how? →

Appearances (1)

Turn any episode into a week of clips.