sxsw: open data as an open challenge
TRANSCRIPT
Context
Exit
Exit w/ Good Multiple
Idea
Prototype
Funded
1 %*
1 %*
1 %*
1 %*
*Health Care Start Ups fail at astounding,
disproportionate rates
User Guide (ALT)
Consultants /Professional Services,
Providers
SaaS-baseddata / analytic
platforms
Measuring Value Creation
Health care has not done so well
“Just wait ‘till next year Financial Services & Energy!”
In this race vs. other verticals
EasyHard
LowBiz Value
HighBiz Value
?
?Most:Cool TechComplex Data
Figure out how to create value from tech / data
Start with Biz Problem, figure out data / tech
Comp Sci. Interests
VC / Accelerator
Public DataBig Data
Challenge: Starting Hard with Cool Tech
*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
Challenge: Direct to Consumer Apps
I have better engineering / architecture
Hmm, ‘fixing the pipes’ was not the answer
Challenge: Noise from Tech
I have better design & experience
Hmm, the pretty colors on my social app didn’t stop me
Challenge: Bubbles (design)
My data is bigger than yours Hmm,this fixation indicates...
Silly boys
Challenge: Buzz (cf. big data)
Perverse Incentives: Fee for ServicePayers aggregate – but some have not historically been “health care”
“Actually, I make more money off of bad drivers.”*
(Read w/ accent)
* Note:Affordable Care Act changes this
Cf. Medicare Advantage
Some Hospitals/Providers may historically generated revenueby filling rooms*
Keep patients away?!?
I was trying to book you for an extra night!
* Note:Affordable Care Act changes this
Cf. Medicare Advantage
Perverse Incentives: Fee for Service
Perverse Incentives: Disrupting Status Quos
David Wennberg, MDRowdMap Advisory Board
Open Health Data Outperforms Claims and Electronic / Personal Health Records, & Devices for Risk & Cost
OPEN SOLUTION - CONNECT DATA TO BIZ MODEL
Solution: NEW INCENTIVESGovernment Announces Sun-setting of Fee for Services
Government Announces New Pay-for-Value Models
OPEN SOLUTION - CONNECT DATA TO BIZ MODEL
New Government Released Referral Data(Patient flows between PCPS, specialists, hospitals and post acute centers)
Dartmouth Atlas for Unwarranted Variation(Decades of research and data on unwarranted variation by condition and geography to keep things apples-to-apples for comparisons, hence “Unwarranted” in the name)
New Government Released Performance Data (Individual providers, groups, hospitals and post acute centers including the new part B&D)
Provider Pattern Intensity Profiles and Risk Readiness for every provider, hospital, post acute center in the US. All preloaded with no IT.
Solution: NEW DATAAffordable Care Act data to determine Risk-Readiness of Providers / Networks
If Dr. Berlin had same ratio as Dr. Milan:• His decompression rate would drop from
6.01 to 0.436 per patient.• Which translates to 2,608 fewer
decompressions per year.• At an average cost of $332 per
decompression, this represents potential savings of over $850K
If Dr. Berlin's decompression to fusion rate were average for orthopedic surgeons:• He would have 1629 fewer
decompressions for a potential savings of $540K.
For every 10 back fusions Dr. Berlin* does 103 decompressions
For every 10 back fusions Dr. Milan* does 2 decompressions.
OPEN SOLUTION - CONNECT DATA TO BIZ MODEL