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A Hacker’s Guide to Health Care
     Big Data & its Business Applications

                                        -or-

                         How to Monetize Data




H@cking Medicine                                  Joshua Rosenthal, PhD
A Production of the MIT Entrepreneurship Center             10.22-23.11
1) Start with the Money

Most ‘Successes’, Aren’t




Note: Payer (money) buying intervention (provider)
Engineers' Guide to Multiples


1x Rev           4x Rev           8x Rev




- Ja Ja Binks   + Good fights   + Existential crises
                                of free agency vs.
                - Teddy Bears   determinism wrapped
                                in a fairy tale
2) ‘Learn’ from the ‘Experts’
            Specifically, learn why they are wrong


“Health Care will move to
performance-driven consumerism,
following financial services & e-com”      Sounds good,
                                            makes sense

                                                  (Nice hair, good
                                                     “Blue Steel”)


                                                         Problem:
                                                        He’s been
                                                      saying this
                                                     for 20 years


                                                              Hack:
                                    Find out why it hasn’t happened
                                          – then make a biz from it
3) Know the Bodies

Health Care, Where Good Ideas Go to Die
Perverse Incentive - A



Supply-driven markets:




                                                      Note:
            Google “unwarranted variation” + “health care”;
              cf. Dartmouth Atlas for Unwarranted Variation
Perverse Incentive - B

Payers have Money and 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
Illusion

       DTC: It Doesn’t Work


             Track how
             fat you are!
             Only $1.99!




                                     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
4) Do Good…

It’s easy to 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
4) … and Make Money
It’s easy to make money...

                ... but you are probably doing bad things

    “I’ll bill you.”
It’s tough
to make money
       &
    do good
in Health Care


But here’s a hack...
5) Start

... with the money: _______

... where they make profit: _______

... with a real biz problem: _______

... with the (publicly available) data: _______

-

Then ask: Does this hose people?

       A: quality > than quantity (supply driven)?
       B: customer/patient satisfaction?
Data & Biz Problems


                    Package in work group


    1) List of Data Sources & Context

    2) Connections between Data and Biz Needs:
       A Mad Libs Approach




(Psst... Know a good accelerometer app developer? – Please ping me.)
Hacker’s Guide
    How to Monetize Data
         -Summary-


1) Start with the Money

2) ‘Learn’ from the ‘Experts’

3) Know the Bodies

4) Do Good and Make Money

5) Start

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MIT's H@cking Medicine presents "A Hackers Guide to Health Care : Big Data"

  • 1. A Hacker’s Guide to Health Care Big Data & its Business Applications -or- How to Monetize Data H@cking Medicine Joshua Rosenthal, PhD A Production of the MIT Entrepreneurship Center 10.22-23.11
  • 2. 1) Start with the Money Most ‘Successes’, Aren’t Note: Payer (money) buying intervention (provider)
  • 3. Engineers' Guide to Multiples 1x Rev 4x Rev 8x Rev - Ja Ja Binks + Good fights + Existential crises of free agency vs. - Teddy Bears determinism wrapped in a fairy tale
  • 4. 2) ‘Learn’ from the ‘Experts’ Specifically, learn why they are wrong “Health Care will move to performance-driven consumerism, following financial services & e-com” Sounds good, makes sense (Nice hair, good “Blue Steel”) Problem: He’s been saying this for 20 years Hack: Find out why it hasn’t happened – then make a biz from it
  • 5. 3) Know the Bodies Health Care, Where Good Ideas Go to Die
  • 6. Perverse Incentive - A Supply-driven markets: Note: Google “unwarranted variation” + “health care”; cf. Dartmouth Atlas for Unwarranted Variation
  • 7. Perverse Incentive - B Payers have Money and 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
  • 8. Illusion DTC: It Doesn’t Work Track how fat you are! Only $1.99! 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
  • 9. 4) Do Good… It’s easy to 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
  • 10. 4) … and Make Money It’s easy to make money... ... but you are probably doing bad things “I’ll bill you.”
  • 11. It’s tough to make money & do good in Health Care But here’s a hack...
  • 12. 5) Start ... with the money: _______ ... where they make profit: _______ ... with a real biz problem: _______ ... with the (publicly available) data: _______ - Then ask: Does this hose people? A: quality > than quantity (supply driven)? B: customer/patient satisfaction?
  • 13. Data & Biz Problems Package in work group 1) List of Data Sources & Context 2) Connections between Data and Biz Needs: A Mad Libs Approach (Psst... Know a good accelerometer app developer? – Please ping me.)
  • 14. Hacker’s Guide How to Monetize Data -Summary- 1) Start with the Money 2) ‘Learn’ from the ‘Experts’ 3) Know the Bodies 4) Do Good and Make Money 5) Start