stanford cs247 lecture 2 21-11 final v ss

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Page 1: Stanford cs247 lecture 2 21-11 final v ss

User Generated Health

Chris Hoggtwitter.com/cwhogg

citizenmed.wordpress.com

Page 2: Stanford cs247 lecture 2 21-11 final v ss

6,8363.4

127/62843.2

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We are currently in the era of disconnected health

Page 4: Stanford cs247 lecture 2 21-11 final v ss

We are disconnected from our health data

50.7% use EMR$44k in stimulus per doc

Page 5: Stanford cs247 lecture 2 21-11 final v ss

We are disconnected from our physicians

Page 6: Stanford cs247 lecture 2 21-11 final v ss

We are disconnected from the healthcare

system

Page 7: Stanford cs247 lecture 2 21-11 final v ss

We are disconnected from our own health

Page 8: Stanford cs247 lecture 2 21-11 final v ss

Being disconnected leads to poor health

Page 9: Stanford cs247 lecture 2 21-11 final v ss

1999

Obesity Trends* Among U.S. AdultsBRFSS, 1990, 1999, 2009

(*BMI 30, or about 30 lbs. overweight for 5’4” person)

2009

1990

No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%

1/3 of Americans will have diabetes by

2050(CDC)

Page 10: Stanford cs247 lecture 2 21-11 final v ss

The pace of drug development is slowing

Page 11: Stanford cs247 lecture 2 21-11 final v ss

How did we lose control of our personal health identity?

Page 12: Stanford cs247 lecture 2 21-11 final v ss

Technology will disrupt healthcare…

(it will just take longer than other industries)

80% search for health3rd most popular web-based pursuit

(Susannah Fox, Pew Internet Project)

Page 13: Stanford cs247 lecture 2 21-11 final v ss

Cyberchondria“Unfounded escalation of concerns about common symptomatology,

based on the review of search results and literature on the Web”

2 in 5 report increase in anxiety from medical search

(White and Horvitz, Microsoft Research)

Page 14: Stanford cs247 lecture 2 21-11 final v ss

The patient is the most underutilized resource in healthcare

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Page 16: Stanford cs247 lecture 2 21-11 final v ss

Measurement facilitates behavioral change

(Seligman and Darley 1977)

10.5%

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18-29 30-49 50-64 65+0%

5%

10%

15%

20%

15%

8%6% 5%

16%

12%

7%5%

mHealth Adoption (Today)Social Networking Adoption (2005)

Age

% o

f Age

Gro

up

Is mHealth adoption following a familiar

pattern?

Data from:Brian Dolan, MobiHealthNews

Susannah Fox, Pew Internet Project

Page 18: Stanford cs247 lecture 2 21-11 final v ss

Apple wants to connect you to your health

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Page 20: Stanford cs247 lecture 2 21-11 final v ss

New data is more powerfulthan a new drug

39% reduction in hospitalizations over 6 months

Page 21: Stanford cs247 lecture 2 21-11 final v ss

73 million have HTN69% with first MI50%

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Know your target audience

Page 23: Stanford cs247 lecture 2 21-11 final v ss

Even young people have chronic medical

conditions

0-19 20-44 45-64 65+0%

25%

50%

75%

100%

25%

40%

67%

87%

5%15%

40%

67%

One or more chronic conditionsTwo or more chronic conditions

Age

% o

f Pati

ents

Page 24: Stanford cs247 lecture 2 21-11 final v ss

Presented at the Annual Academy Health Research Meeting, June 2007; CMS (Centers for Medicare and Medicare Services)

19%

21%

20%

15%

10%

15%But as people age, they get a lot more No conditions

1condition

2 conditions

3conditions

4conditions

5+conditions

# of chronic conditions for Medicare beneficiaries (65+)

Page 25: Stanford cs247 lecture 2 21-11 final v ss

Medical / clinical is converging with health / wellness

Page 26: Stanford cs247 lecture 2 21-11 final v ss

What you can learn from a few

data points?

Page 27: Stanford cs247 lecture 2 21-11 final v ss

1/12/0

6

2/1/0

6

2/21/0

6

3/13/0

6

4/2/0

6

4/22/0

6

5/12/0

6

6/1/0

6

6/21/0

6

7/11/0

6

7/31/0

6

8/20/0

6

9/9/0

6

9/29/0

6

10/19/0

6

11/8/0

6

11/28/0

6

12/18/0

65.5

5.6

5.7

5.8

5.9

6

6.1

6.2

6.3

Sunday

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday

5.7

5.8

5.9

6.0Mood Seasonality Mood by Day of Week

Page 28: Stanford cs247 lecture 2 21-11 final v ss
Page 29: Stanford cs247 lecture 2 21-11 final v ss

Significant personal information from a single

daily data point

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30

Crowdsourcing personal health data

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31

Exercise

B Vitamins

Xanax(Alprazolam)

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Can crowdsourced personal health data be used to

predict personalized drug responses?

Page 33: Stanford cs247 lecture 2 21-11 final v ss

Data is beginning to flow from the system to users

Page 34: Stanford cs247 lecture 2 21-11 final v ss

Access to data – Blue ButtonPractice FusionMSHV

Page 35: Stanford cs247 lecture 2 21-11 final v ss

Surescripts data on Rx histories

Prescription data is beginning to flow

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Rx history + treatment algorithm =

understanding

Page 37: Stanford cs247 lecture 2 21-11 final v ss

You can learn a lot about a person from a few simple

data points

Page 38: Stanford cs247 lecture 2 21-11 final v ss

LiptorZocor

LovastatinPravachol

CrestorLescol

ZetiaTricor

VytorinGemfibrozil

Niaspan

HDLand

Other

Statins

Drug

Drug Class

High Cholesterol

Coronary Artery

Disease(CAD)

Myocardial Infarction

(Heart Attack)

DrugDrug Class

EventMedical Conditions

High Blood Pressure

Diuretics

Calcium Channel Blockers

ARBs

ACE Inhibitors

Beta Blockers

Type 2 Diabetes

Metformin

Sulphonylureas

Insulin

DPP -4 Inhibitors

TZDs

20-30% of CAD patients have

Type 2 Diabetes

70-80% of CAD patients have high

blood pressure

Page 39: Stanford cs247 lecture 2 21-11 final v ss

Hidalgo et al. PLoS Computational Biology 5(4):e1000353 (2009)http://hudine.neu.edu/

Page 40: Stanford cs247 lecture 2 21-11 final v ss

High Cholesterol

High Blood Pressure

Type 2 Diabetes

1

2

3

4

5

High Blood Pressure

High Blood Pressure

High Blood Pressure

High Cholesterol

High Cholesterol

Type 2 DiabetesOsteoporosis

Page 41: Stanford cs247 lecture 2 21-11 final v ss

Social Health Layer / Health Graph

Google Health

Microsoft HealthVault

Practice Fusion

EMR / PHR

AllScripts PHR

Other EMR / PHR System

APIs

Google Apps MSHV Apps PF Apps AS Apps Other PHR Apps

Social Health App

Social Health App

Page 42: Stanford cs247 lecture 2 21-11 final v ss

We are entering the era of Participatory Medicine

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A medical record is a punctuated data stream

Pers

onal

Hea

lth D

ata Gaps filled via recollection

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Anamnesis(patient recollection)

is not accurate

Page 45: Stanford cs247 lecture 2 21-11 final v ss

Pers

onal

Hea

lth D

ata

12/31/05

1/8/06

1/16/0

6

1/24/0

6

2/1/06

2/9/06

2/17/0

6

2/25/06

3/5/06

3/13/0

6

3/21/0

6

3/29/0

6

4/6/06

4/14/0

6

4/22/0

6

4/30/0

6

5/8/06

5/16/0

6

5/24/06

6/1/06

6/9/06

6/17/0

6

6/25/0

6

7/3/06

7/11/0

6

7/19/0

6

7/27/0

6

8/4/06

8/12/0

6

8/20/0

6

8/28/0

6

9/5/06

9/13/0

6

9/21/06

9/29/0

6

10/7/06

10/15/06

10/23/06

10/31/06

11/8/06

11/16/06

11/24/06

12/2/06

12/10/06

12/18/06

EMR data + user generated data = healthstream

Page 46: Stanford cs247 lecture 2 21-11 final v ss

Rx of AppsMETFORMIN 500MG BIDLISINOPRIL 20MG OD

Medications

Applications

Page 47: Stanford cs247 lecture 2 21-11 final v ss

I will own my healthstream and health data

Page 48: Stanford cs247 lecture 2 21-11 final v ss

The market for health data is

very large

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Page 50: Stanford cs247 lecture 2 21-11 final v ss

Healthcare systems are the future

Page 51: Stanford cs247 lecture 2 21-11 final v ss

Data enables us all to become Citizen Scientists

Page 52: Stanford cs247 lecture 2 21-11 final v ss

Can butter make you smarter?

Page 53: Stanford cs247 lecture 2 21-11 final v ss

The MTHFR Study

Page 54: Stanford cs247 lecture 2 21-11 final v ss

Groups of users will come together to run their own clinical trials

Page 55: Stanford cs247 lecture 2 21-11 final v ss

Genomera: A platform for

Citizen Science

Page 56: Stanford cs247 lecture 2 21-11 final v ss

Future study:meditation and blood pressure

Page 57: Stanford cs247 lecture 2 21-11 final v ss

Drug A

Drug B

Track common measures of efficacy, potential side effects, events, etc.

Citizen Science has the power to disrupt healthcare

Page 58: Stanford cs247 lecture 2 21-11 final v ss
Page 59: Stanford cs247 lecture 2 21-11 final v ss

For those interested in learning more, the Bay Area

is a good place to be…

Page 60: Stanford cs247 lecture 2 21-11 final v ss

Thank You

Chris [email protected]/cwhogglinkedin.com/in/cwhoggcitizenmed.wordpress.com

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