What Healthcare Can Learn from Netflix - Global Health Care · What Healthcare Can Learn from Netflix: Leveraging Social Determinant and Behavioral Data for ... Personalizing wearable

What Healthcare Can Learn from Netflix: Leveraging Social Determinant and Behavioral Data for

Personalized Population Health

Eric Williams, PhDDirector of Data ScienceOmada Health

Outline

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• The Omada Program “We inspire and enable people everywhere to live free of chronic disease”

• Social Determinant + Behavioral DataHarnessing the full power of digital health

Case studies:• Get to stepping

Personalizing wearable tech to maximize physical activity

• Chronic Boom: Digital Health and SeniorsPersonalizing interventions for Medicare populations

Outline

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INTRODUCINGThe Omada Program

Outline

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Omada Demographic Data

> 55,000 ParticipantsEnrolled

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Behavioral History / Personality Data

Omada Behavioral Data (one patient out of 55k+)

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Private Messages (Coach <> Patient)

• Over 1.2M messages• Communications about

behavior change, roadblocks, nutrition, physical activity, etc

• Data- Emotionally charged raw

text (NLP)


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Physical Activity Tracking

• Personalized adaptive daily step goals

• MyFitnessPal and auto-step tracking integrations

• Over 3.6M activities recorded• Data:-

Steps entered-

Minutes of activity-

Location (physical proximity triggers)


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Group Messaging / Social Support• Group communication • Patient <> patient• Patient <> health coach• Data:-

Emotionally charged text communication (NLP)


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Meal Tracking

• Daily food tracking• 6.2M meals tracked• Active feedback from

coach• Data:-

Raw text (food)-

Healthiness-

Portion size-

Time of day


Outline

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• Social Determinants + Behavioral DataHarnessing the full power of digital health




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Physical Activity Engagement

• Physical activity is a large part of a healthy lifestyle

• The second phase of the Omada Program focuses on increasing patient’s physical activity:

1.

Providing pedometers to patients to collect physical activity (“steps”) data2.

Educational components and health-coach interaction about exercise3.

Setting daily “step goals”

for participants

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Physical Activity Engagement

• Physical activity is a large part of a healthy lifestyle

• The second phase of the Omada Program focuses on increasing patient’s physical activity:

1.

Providing pedometers to patients to collect physical activity (“steps”) data2.

Educational components and health-coach interaction about exercise3. Setting daily “step goals” for participants

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Data Case Study: Personalization and Optimization of Step Goals

Challenge: can we provide personalized step goals to increase physical activity behaviors?

Patients are challenged with daily ‘step goals’

to increase physical activity

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What does the data tell us:


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Historical steps recorded, segmented by age/BMI

Assign each participant a personalized step goal based on: similar age/BMI historical mean + 20%

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Experiment: 50% receive ‘personalized steps’, 50% receive static (7500 / day)

PersonalizedStatic (7500)

Step

s Tra

cked

/ W

eek

Program Week Program Week

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Adaptive goals may be more impactful for younger [18-30] males


Step

s Tra

cked

/ W

eek


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Step

s Tra

cked

/ W

eek


No apparent effect in middle-aged adults

Outline

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• Social Determinants + Behavioral DataHarnessing the full power of digital health




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What about older populations?•65+ hit hardest by chronic disease

Chronic Boom: Digital Health and Seniors

Seniors and technology adoption?•Lots of assumptions•What does the data say?

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Program Week

Day

s With

Phy

sica

l A

ctiv

ities

Tra

cked

< 65 ≥

65Participant Age:

1 2 3 4 5 6 7 8 9 10


Program Week

Day

s With

Phy

sica

l A

ctiv

ities

Tra

cked

< 65 ≥

65Participant Age:

1 2 3 4 5 6 7 8 9 10

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Program Week

Day

s With

Phy

sica

l A

ctiv

ities

Tra

cked

< 65 ≥

65Participant Age:

1 2 3 4 5 6 7 8 9 10

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Program Week

Day

s With

Phy

sica

l A

ctiv

ities

Tra

cked

< 65 ≥

65Participant Age:

1 2 3 4 5 6 7 8 9 10

???


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Program Week

Day

s With

Phy

sica

l A

ctiv

ities

Tra

cked

< 65 ≥

65Participant Age:

1 2 3 4 5 6 7 8 9 10

1.

Provided pedometer technology

1.

Provided educational materials and health coach technical (and emotional) support


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Omada Health + Humana Medicare Case Study

OMADA HEALTH - CONFIDENTIAL

CASE STUDY: Omada + Humana Medicare

70 Average age of enrolled

beneficiary

85%Participants

remaining active after 6 months 8.7%

Initial body weight lost by

Omada graduates

OMADA HEALTH - CONFIDENTIAL

CASE STUDY: Omada + Humana Medicare

491Humana Medicare

Advantage beneficiaries

enrolled

70 Average age of enrolled

beneficiary

85%Participants

remaining active after 6 months 8.7%

Initial body weight lost by

Omada graduates

71%*Estimated 3-year reduction in type-2

diabetes risk*Estimated from data from Diabetes Prevention Program clinical trial

~$1,750*Estimated 3-year per capita medical

expenditure savings

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Conclusions

• Social determinants + behavioral data can be used to maximize impact through personalization and optimization

• This data-driven personalization can help reach challenging (e.g. young, old, etc) populations

• Senior populations may be lagging in tech adoption/literacy, but not for lack of want or ability.

• Given the tools and education we’ve seen them outperform all other demographics

THANKS! @SCIENCETHEDATA

[email protected]

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What Healthcare Can Learn from Netflix - Global Health Care · What Healthcare Can Learn from Netflix: Leveraging Social Determinant and Behavioral Data for ... Personalizing wearable