Allon Bloch

Co-Founder and CEO, K Health · 1 appearance on the record.

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

founderexecutiveinvestorLinkedIn ↗khealth.com ↗

Allon Bloch is the co-founder and CEO of K Health, a clinical artificial intelligence company providing data-driven virtual primary care and diagnostic support tools. He previously served as co-CEO of Wix and co-founder and CEO of online automotive retailer Vroom, helping lead both companies through public listings.

9statements → 3claims → 1claims resolved → 4.33/5average certainty → 1.89/5average debate potential →

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

1 prediction · 2 assertions · 2 opinions · 4 disclosures · every statement was checked. The prediction and assertions are the 3 claims: statements the public record can support or contradict. 1 is resolved, and 2 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 Allon 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

K Health reached 500,000 users within six months of launch

“We have about half a million people, but we just launched our product about six months ago.”

Allon Bloch Jan 16, 2019 ▶ 6:16 Building An Info Layer for Personal Health // Allon Bloch, K Health (FirstMark's Data Driven NYC)

How they sound: speaking style how? →

277 words/min while actually speaking · 40.3 um and uh per 1k words

No argument clarity score for Allon Bloch: only 1 usable question→answer exchange 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 the audio itself: 3,668 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →

What they said9 Episodes1

Everything Allon Bloch said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Assertion Not checkable as stated

Mayo Clinic doctors lack clinical data as rich as K Health's

“And just to be very clear, a doctor in Mayo Clinic does not have access to this information. There's no medical grade system that allows you to compare yourself to a data set that's as rich and relevant as you are.”

Allon Bloch Jan 16, 2019 ▶ 9:14 Building An Info Layer for Personal Health // Allon Bloch, K Health (FirstMark's Data Driven NYC)

Opinion

Bloch: US electronic medical records are built for billing, not patient care

“It's all built for billing, especially, especially in America.”

Allon Bloch Jan 16, 2019 ▶ 0:49 Building An Info Layer for Personal Health // Allon Bloch, K Health (FirstMark's Data Driven NYC)

Opinion

Bloch: Popular clinical system UpToDate looks like software from 1990

“If you use the content management systems that doctors use in hospitals or in clinics, ah, the most popular one is UpToDate. It looks like a content management system from 1990 or 1985. It's a heuristic-driven system. It doesn't really help you understand, ah,…”

Allon Bloch Jan 16, 2019 ▶ 3:18 Building An Info Layer for Personal Health // Allon Bloch, K Health (FirstMark's Data Driven NYC)

Disclosure

K Health trained its diagnostic AI on 80 million doctors' notes

“So we essentially took eighty million doctor's notes that have all these different symptoms and sub, sub-symptoms And in, ah, diagnosis and treatment, and tied them all in together, and essentially trade a machine through ontology, ah, to build a differential …”

Allon Bloch Jan 16, 2019 ▶ 5:46 Building An Info Layer for Personal Health // Allon Bloch, K Health (FirstMark's Data Driven NYC)

Disclosure

Bloch: K Health's AI is not a rules-based decision tree

“There's no decision trees here. This is not a rules-based system.”

Allon Bloch Jan 16, 2019 ▶ 8:48 Building An Info Layer for Personal Health // Allon Bloch, K Health (FirstMark's Data Driven NYC)

Disclosure

Comcast invested in K Health and is deploying to 200,000 employees

“Comcast is a big investor, and they're rolling out a KR too. They have about 200,000 employees.”

Allon Bloch Jan 16, 2019 ▶ 17:13 Building An Info Layer for Personal Health // Allon Bloch, K Health (FirstMark's Data Driven NYC)

Prediction Not checkable as stated

Bloch: Apple, Amazon, and Google will likely compete in personal health

“And plus, you have Apple, Amazon, and Google that are very likely to be in this market and probably compete directly here.”

Allon Bloch Jan 16, 2019 ▶ 17:29 Building An Info Layer for Personal Health // Allon Bloch, K Health (FirstMark's Data Driven NYC)

Disclosure

K Health licenses 20-year medical dataset from Israeli HMO

“So we license a very large data set from an HMO out in Israel that has about 20 years of data.”

Allon Bloch Jan 16, 2019 ▶ 4:46 Building An Info Layer for Personal Health // Allon Bloch, K Health (FirstMark's Data Driven NYC)

Assertion Supported

K Health reached 500,000 users within six months of launch

“We have about half a million people, but we just launched our product about six months ago.”

Allon Bloch Jan 16, 2019 ▶ 6:16 Building An Info Layer for Personal Health // Allon Bloch, K Health (FirstMark's Data Driven NYC)

Appearances (1)

Episode	Date	Speaking time
Building An Info Layer for Personal Health // Allon Bloch, K Health (FirstMark's Data Driv	Jan 16, 2019	17m

Allon Bloch

The record, in short

Their most notable supported claim

How they sound: speaking style how? →

Appearances (1)

Turn any episode into a week of clips.