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eric c. larson | eclarson.com big data, small data : Assistant Professor Computer Science and Engineering the future of sensing in health and sustainability

Big Data, Small Data

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The future of sensing in sustainability and health

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Page 1: Big Data, Small Data

eric c. larson | eclarson.com

big data, small data:

Assistant Professor Computer Science and Engineering

the future of sensing in health and sustainability

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easy to get

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easy to gethard to get

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easy to get

application

hard to get

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easy to get

application

application

hard to get

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data

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data knowledge=

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data you

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data you

personalization

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data you

personalization

feedback

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health and sustainability

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health and sustainabilitysmall data in

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health and sustainability

sensing

you

small data in

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health and sustainability

sensing

you

sensing

you

stakeholders

small data in

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sustainability and water

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lake mead 1983

sustainability and water

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lake mead 2011

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lake mead 2011

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$2,994.83

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eco-feedback

Geographic Comparisons Dashboards

Metaphorical Unit Designs Recommendations

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eco-feedback

Geographic Comparisons Dashboards

Metaphorical Unit Designs Recommendations

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0%

5%

10%

15%

20%

1 2 3 4 5 Untitled 1

20%

12%9.2%8.4%

6.8%

3.8%

Enhanced Billing

Web Based

Daily Feedback

Realtime Feedback

Appliance Level + Personalized

Feedback

Annu

al %

Sav

ings

Based on 36 studies between 1995-2010. Summarized by Ehrhardt-Matinez et al. >20% reduction: Gardner et al. (2008) and Laitner et al. (2009)

Appliance Level

types of eco-feedback

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0%

5%

10%

15%

20%

1 2 3 4 5 Untitled 1

20%

12%9.2%8.4%

6.8%

3.8%

Enhanced Billing

Web Based

Daily Feedback

Realtime Feedback

Appliance Level + Personalized

Feedback

Annu

al %

Sav

ings

Based on 36 studies between 1995-2010. Summarized by Ehrhardt-Matinez et al. >20% reduction: Gardner et al. (2008) and Laitner et al. (2009)

Appliance Level

types of eco-feedback

aggregate

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0%

5%

10%

15%

20%

1 2 3 4 5 Untitled 1

20%

12%9.2%8.4%

6.8%

3.8%

Enhanced Billing

Web Based

Daily Feedback

Realtime Feedback

Appliance Level + Personalized

Feedback

Annu

al %

Sav

ings

Based on 36 studies between 1995-2010. Summarized by Ehrhardt-Matinez et al. >20% reduction: Gardner et al. (2008) and Laitner et al. (2009)

Appliance Level

types of eco-feedback

aggregate

disaggregated

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on average, a consumer can save 15-25%

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bathroom usage

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bathroom usage

leaky flapper valve

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healthmobile

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healthm

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MiPhone 9 Now with iColon.

> slide to unlock

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the promise of mhealth:

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the promise of mhealth:

revolutionize medicine

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the promise of mhealth:

revolutionize medicineeliminate doctor visits

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the promise of mhealth:

revolutionize medicineeliminate doctor visitsremote / automatic diagnosis

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the promise of mhealth:

revolutionize medicineeliminate doctor visitsremote / automatic diagnosisequalize developing countries

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the promise of mhealth:

revolutionize medicineeliminate doctor visitsremote / automatic diagnosisequalize developing countries

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the promise of mhealth:

revolutionize medicineeliminate doctor visitsremote / automatic diagnosisequalize developing countries

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stress check

glucose buddyfitness trainer

heart rate

zombie run current mhealth

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stress check

glucose buddyfitness trainer

heart rate

zombie run current mhealth43,000 apps for health on the app store

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stress check

glucose buddyfitness trainer

heart rate

zombie run current mhealth43,000 apps for health on the app store 96% are for calorie counting & exercise

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stress check

glucose buddyfitness trainer

heart rate

zombie run current mhealth43,000 apps for health on the app store 96% are for calorie counting & exercise4% are remote monitoring

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stress check

glucose buddyfitness trainer

heart rate

zombie run current mhealth43,000 apps for health on the app store 96% are for calorie counting & exercise4% are remote monitoring~100 are cleared by the FDA

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consider physician’s needs

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consider physician’s needsconnecting with patient

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consider physician’s needsconnecting with patient tracking baselines

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consider physician’s needsconnecting with patient tracking baselinespersonalized trending data

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consider physician’s needsconnecting with patient tracking baselinespersonalized trending datamanaging chronic disease

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consider physician’s needsconnecting with patient tracking baselinespersonalized trending datamanaging chronic disease

30% of all US healthcare spending is on chronic disease

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mhealth and chronic disease management

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mhealth and chronic disease management

compliance?cost?

doctor patient?data reliability?

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compliance

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compliance

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baseline quantitysensor

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phone as a sensorbaseline quantitysensor

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phone as a sensorbaseline quantitysensor

embedded sensors

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phone as a sensorbaseline quantitysensor

embedded sensors processing

estimated

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accelerometer gyroscope magnetometer /compass dual camera / flash 1+ microphones proximity sensor capacitive sensor gps motorized actuator wireless antenna (s)

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accelerometer gyroscope magnetometer /compass dual camera / flash 1+ microphones proximity sensor capacitive sensor gps motorized actuator wireless antenna (s)

compliance++;cost--;dr_pat *= 10;

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accelerometer gyroscope magnetometer /compass dual camera / flash 1+ microphones proximity sensor capacitive sensor gps motorized actuator wireless antenna (s)

compliance++;cost--;dr_pat *= 10;

data reliability?

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what can the mobile phone sense with clinical accuracy?

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what can the mobile phone sense with clinical accuracy?

which chronic diseases should be targeted first?

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spirometry testing

flow

volume

volum

e

time

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flow

volume

volum

e

time

spirometry testing

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flow

volume

volum

e

time

spirometry testing

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spirometry

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standard of care for:

spirometry

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standard of care for: asthma COPD post-transplant breathing cystic fibrosis

spirometry

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home spirometry

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home spirometry

!

faster detection rapid recovery

trending

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home spirometry

high cost barrier patient compliance

less coaching limited integration

challenges with

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flow rate volume

lung functionairflow sensor

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flow rate volume

lung functionairflow sensor

sound pressure microphone

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flow rate volume

lung functionairflow sensor

sound pressure microphone processing

estimated

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SpiroSmart

availability cost portability more effective coaching interface integrated uploading

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Using SpiroSmart

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SpiroSmart

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SpiroSmart

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within ~5-7% of a real spirometer

phone app doctor visit

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appropriate for trending and screening

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global health non-profit

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global health non-profit

patient and doctors

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global health non-profit

patient and doctors pharmaceutical drug trials

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currently undergoing FDA 510k device approval

diagnostic deployment in India started in January

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mhealth and newborns?

other applications in health?

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neonatal jaundice in the US

kernicterus: 21

hazardous jaundice: 1158

extreme jaundice: 2,317

severe jaundice: 35,000

phototherapy: 290,000

visible jaundice: 3.5 million

births/year: 4.1 million

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Method Accuracy Disadvantages

TSB Gold standard (r=1.0)

Painful, costly, inconvenient, delayed

TcBAccurate

(r= 0.75 -0.93) Meter = $7000

tips $5 unavailable in most

physician offices

Visual assessment (provider or parent)

not accurate (r= 0.36 - 0.7), underestimates

severity

No standardization lighting, pigmentation

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bilirubin level in blood

jaundice levelblood draw

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bilirubin level in blood

jaundice levelblood draw

yellowness camera

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bilirubin level in blood

jaundice levelblood draw

yellowness camera processing

estimated

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bilicam

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bilicam

correlates with TSB at 0.84TcB correlates anywhere from 0.71 to 0.9

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mobile apps are poised to take over the market

nokia x-challenge:grand prize: mobile device that monitors vitals signs can diagnose 10 of 15 diseases

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the future of mHealth?

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• new sensors will be integrated into phonesthe future of mHealth?

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• new sensors will be integrated into phones• health sensing and mobile phone manufacturing

will become highly intertwined

the future of mHealth?

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• new sensors will be integrated into phones• health sensing and mobile phone manufacturing

will become highly intertwined• FDA will have a big say in how quickly phones can

be built and pushed out, and what apps are “OK”

the future of mHealth?

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• new sensors will be integrated into phones• health sensing and mobile phone manufacturing

will become highly intertwined• FDA will have a big say in how quickly phones can

be built and pushed out, and what apps are “OK”

the future of mHealth?

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• new sensors will be integrated into phones• health sensing and mobile phone manufacturing

will become highly intertwined• FDA will have a big say in how quickly phones can

be built and pushed out, and what apps are “OK”

• FDA sanctioned validity study

the future of mHealth?

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• new sensors will be integrated into phones• health sensing and mobile phone manufacturing

will become highly intertwined• FDA will have a big say in how quickly phones can

be built and pushed out, and what apps are “OK”

• FDA sanctioned validity study

• four melanoma apps

the future of mHealth?

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• new sensors will be integrated into phones• health sensing and mobile phone manufacturing

will become highly intertwined• FDA will have a big say in how quickly phones can

be built and pushed out, and what apps are “OK”

• FDA sanctioned validity study

• four melanoma apps• 30% of cancerous moles

classified as benign

the future of mHealth?

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what app makes a phone a medical device?

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apps that transform a phone or connect to a medical sensor

what app makes a phone a medical device?

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apps that transform a phone or connect to a medical sensorapps that control a device through a phone

what app makes a phone a medical device?

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apps that transform a phone or connect to a medical sensorapps that control a device through a phoneapps that display, transfer, store, medical device data

what app makes a phone a medical device?

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apps that transform a phone or connect to a medical sensorapps that control a device through a phoneapps that display, transfer, store, medical device dataapps that interact with electronic health records or simple health data

what app makes a phone a medical device?

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apps that transform a phone or connect to a medical sensorapps that control a device through a phoneapps that display, transfer, store, medical device dataapps that interact with electronic health records or simple health data

yesyes

yesmayb

e

what app makes a phone a medical device?

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apps that transform a phone or connect to a medical sensorapps that control a device through a phoneapps that display, transfer, store, medical device dataapps that interact with electronic health records or simple health data

yesyes

yesmayb

e

what app makes a phone a medical device?

psychiatry, medical dosing, symptom logs, general fitness apps…

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apps that transform a phone or connect to a medical sensorapps that control a device through a phoneapps that display, transfer, store, medical device dataapps that interact with electronic health records or simple health data

yesyes

yesmayb

e

what app makes a phone a medical device?

psychiatry, medical dosing, symptom logs, general fitness apps… mayb

e

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what app makes a phone a medical device?

we will see?

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some approved apps

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some approved apps

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some approved apps

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some approved apps

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some approved apps

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my take

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eclarson.com [email protected] @ec_larson> slide to unlock

Thank You!> slide to unlock

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eric c. larson | eclarson.com

eclarson.com [email protected] @ec_larson> slide to unlock

Assistant Professor Computer Science and Engineering

collaborators: !Joseph Camp Shwetak Patel Jim Stout, MD Jim Taylor, MD Margaret Rosenfeld, MD Gaetano Boriello Mayank Goel Lilian DeGreef

big data, small data:the future of sensing in

health and sustainability

Thank You!

Page 151: Big Data, Small Data

eric c. larson | eclarson.com

eclarson.com [email protected] @ec_larson

Assistant Professor Computer Science and Engineering

collaborators: !Joseph Camp Shwetak Patel Jim Stout, MD Jim Taylor, MD Margaret Rosenfeld, MD Gaetano Boriello Mayank Goel Lilian DeGreef

big data, small data:the future of sensing in

health and sustainability

Thank You!