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Joshua Rosenthal, PhD Meaningful Use of Complex Medical Data Children’s Hospital, Los Angeles - 2012
It's Not the Size but What You Do with It:
‘tiny data" and Business Value in a ‘Perverse’ Market
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Context
Exit
Exit w/ Good Multiple
Idea
Prototype
Funded
1 %*
1 %*
1 %*
1 %*
*Health Care Start Ups fail at astounding,
disproportionate rates
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Alternatives
Better Odds (seriously) Default
Better Odds (w/ life insurance) Not an Alternative (infra)
Noble, but hard & < 10 years left
See “Default”
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Note: Payer buying Provider
Most ‘Successes’, Aren’t
User Guide
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User Guide
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User Guide (ALT)
Consultants / Professional Services,
Providers
SaaS-based data / analytic
platforms
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> * KickStarter.com gave more $ to the arts last year than the NEA. Cf. WarbyParker & eyeglasses for Africa
Hey, what about Social / Public Good?
You’re always better off if you create market value (even if you’re a non-profit) With finite budgets, non-profits will compete against each other; need market reinforcement/acceleration Can go for-profit w/ public/social good for broader usage/greater impact*
MPH?
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Context
Easy Hard
Low Biz Value
High Biz Value
? ?
? Most: Cool Tech Complex Data
Figure out how to create value from tech / data
Start with Biz Problem, figure out data / tech
Comp Sci. Interests
VC / Accelerator
‘Tiny’ Data? Big Data
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Health care has not done so well
“Just wait ‘till next year Financial Services & Energy!”
In this race vs. other verticals
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Lots of Bodies
Health Care, Where Good Ideas Go to Die
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Lots of failure (DTC*)
*Direct-to-Consumer Note: People don’t like to pay out of pocket for something they don’t like to do or don’t want to know about
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Lots of noise & fluff
Speaking at a major health care conference near you
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Noise
I have better engineering / architecture
Hmm, ‘fixing the pipes’ was not the answer
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Lots Fluff
I have better design & experience
Hmm, the pretty colors on my social app didn’t stop me
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Lots of ‘false indicators’
My data is bigger than yours Hmm, this fixation indicates...
Silly boys
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Lots of market perversities
* Source: Dartmouth Atlas for Unwarranted Variation
*
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Review
Health Care Start Ups fail at astounding,
disproportionate rates
FAIL
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Old Paradigm – Fee for Service
Payers aggregate – but have not historically been “health care”
“Actually, I make more money off of bad drivers.”*
(Read w/ accent)
Note: Medicare $ > Employer $
Employer populations = tougher outcomes (3-year turn) Cf. Medicare reimbursement rates
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Old Paradigm – Fee for Service
Hospitals/Providers may generate revenue by filling rooms
Keep patients away?!?
I was trying to book you for an extra night!
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Shift: Demographic –> Market
MBA test:
“To stay ahead of the game, the market I should look at is ____________ .”
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Market Shift = New Profit Paradigm
WRONG – This isn’t the end, it’s just the beginning!*
* Cf.
P4P to incentivize market (including payers)
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Government is releasing lots of data*
* Expertly captained by
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Need market to adopt – use to create value
Cf. Weather & Geo-Location data
Thanks, government!
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‘tiny data’
The data of the New Profit Paradigm NEW PROFIT PARADIGM: Profit generation (vs. cost savings) zero-sum consolidation Impact across Growth, Performance & Value Expanding from Medicare to Medicaid & Commercial Players are incentived (driving M&A for hospitals, populations, medical management, etc.) - ‘TINY DATA’:
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‘tiny data’
The data of the New Profit Paradigm NEW PROFIT PARADIGM: - ‘TINY DATA’: Not Member, Claim, EH/MR, lab, genetic, etc. Summarized aggregate, contract around NEW P4P (lots public) Measured at contract, cohort, geography Across entire spectrum of health care (Chronic, Wellness, Quality of Care, Customer Service, Customer Satisfaction) Connections between entities (docs, hospitals, nursing homes) & Crosswalks to disparate data Relationships & standardization vs. modeling & exploration Product vs. research/consulting
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‘tiny data’
Pros Cons
Lose ‘size bragging
rights’
May have to work
w/ this guy
Fits on a thumb drive
Creates market value
No lone ranging / heroics
Scale through platform
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Context
Easy Hard
Low Biz Value
High Biz Value
Big Data ‘tiny data’
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So?
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Do Good…
... but you are probably not profitable
If P < EHC x DWS, then 501c3
P: Profit; EHC: Employee Head Count; DWS: Dog Walker’s Salary; 501c3: Non-profit
It’s easy to do good...
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… and Create Value
... but you are probably doing bad things
“I’ll bill you.”
It’s easy to make money...
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It’s tough to do good & create value in Health Care
So let’s practice
Big
or ‘tiny’
together