Richard Dale gave a presentation on personalized medicine at the MassTLC Big Data Summit in June 2013. He began by noting that the term "personalized medicine" is often misunderstood and proposed expanding our understanding of it. He then sketched a market map showing where personalized medicine is currently focused and its potential future trajectory. Dale argued that, like Amazon and Netflix recommendations, healthcare should aim to deliver individualized treatment plans by analyzing thousands of personal factors for each patient, moving from a model focused on diseases to one centered on each unique patient.

1. Personalized Medicine: using data to tailor individual treatment plans
Richard Dale, COO Optum Labs @rdale
MassTLC Big Data Summit, June 2013

2. Richard Dale, COO, Optum Labs for MassTLC Big Data and Personalized Medicine. Copyright © Optum Labs 2013, all rights reserved. 2
Session Structure
Personalized Medicine is not what you think
Undefine
the term
Brainstorm around the term
Expand
our horizons
How many dimensions will we need?
Construct a
market map
Where are we heading?
Sketch the
trajectory

3. Personalized Medicine is not what you think

4. Tell me your definition…
Write it down in 20 words or less

5. Lightning round of definitions

6. Brian: You’re all different!
Crowd: Yes, we are all different!
Man: I’m not, I’m the same
Source: “Life of Brian” movie

7. Richard Dale, COO, Optum Labs for MassTLC Big Data and Personalized Medicine. Copyright © Optum Labs 2013, all rights reserved. 7
Are we treating the disease (which one?) or the patient?
Source: “Prevalence of multiple chronic conditions in the US Medicare population”
Schneider, O;Donnell, Dean
Health and Quality of Life Outcomes 2009, 7:82

8. Richard Dale, COO, Optum Labs for MassTLC Big Data and Personalized Medicine. Copyright © Optum Labs 2013, all rights reserved. 8
Delivering Personalized Medicine: Everyone is an N-of-1
An example of a power law graph showing
popularity ranking.
To the right (yellow) is the long tail;
to the left (green) are the few that dominate.
In this example, the areas of both
regions are equal.
Source: “Long tail”, Wikipedia
If Amazon and Netflix can deliver individualized “personalized”
recommendations from analysis of thousands of factors,
perhaps healthcare should have ambitions to do the same.
Well
Sick

9. Delivering Personalized Medicine Healthcare

10. Mapping Personalized Healthcare

11. Richard Dale, COO, Optum Labs for MassTLC Big Data and Personalized Medicine. Copyright © Optum Labs 2013, all rights reserved. 11
Healthcare based on your N-of-1
with evidence-based screenings & interventions:
Population
health
management
Disease
pre-cursor
discovery
Disease
prevention &
management
Precise
diagnosis
Biomarkers
Disease
Characterization
Treatment
option
analysis
Drug
suitability
screening
Disease &
treatment
progressions
Natural
history of
disease
Evidence from
clinical and
administrative
record

12. Richard Dale, COO, Optum Labs for MassTLC Big Data and Personalized Medicine. Copyright © Optum Labs 2013, all rights reserved. 12
Dimensions of Personalized Healthcare and Big Data
Up & running In development Where next
Population health management
Disease pre-cursor discovery
Disease prevention & management
Precise diagnosis
Biomarkers
Disease characterization
Treatment option analysis
Drug suitability screening
Disease & treatment progressions
Natural history of disease
Evidence from data record

13. Thank You
Contact information
Richard Dale, COO, Optum Labs
+1 617 275 2478
richard.dale@optum.com