SlideShare a Scribd company logo
vera
An SMS/text message health-tracker for underserved demographics.

APIs/Technology Used
health.data.ny.gov DTII Prevention Tips
node.js, coffeescript
Firebase
Twilio

Datasets Used
Effect of BMI on Lifetime Risk for
Diabetes in the U.S.
Health Indicators Warehouse
Pew Internet & American Life
+ unlimited extensibility

Built for NYS Health Data Code-a-thon
By Ethan Bond, Femi King, and Raymond Jacobson
vera
Health-tech relies on high-tech. But low-tech
communities need it the most.

•
•
•

Accessible personal health monitoring
for underserved communities
Highly extensible platform
Utilize and contribute to open datasets
me: Vera?

!

vera: Hey there, I’m Vera. It’s a pleasure to
meet you. What’s your name? For example: ‘name:
Robert’
vera
vera: Ethan, I have to ask you some
questions! What’s your age in
years? For example: ‘age: 20’

vera: Good evening Ethan! Just
checking in. What did you eat today?
For example ‘foods: pizza, steak’

me: age: 19

me: foods: salad, steak, green beans

!
!

vera: Great! How tall are you in
inches? Don’t be shy! For example:
‘height: 60’

!

me: height: 69

!

vera: How much do you weigh in
pounds? For example: ‘weight: 215’

!

me: weight: 202

!

vera: Nice! Your BMI is 30 which is
obese. Together we can fix that up.
To see how, type ‘info’ and learn
what I can do. I’ll check back with
you tomorrow to get started, so
start eating healthy! Type ‘tips’
to learn how.

!
!

vera: Great! That’s a definite step
up. Keep it up and I’ll be asking for
progress in a few days!

!
!
!
!

me: get data

!

vera: It’s important to see progress
over time. For the next day,
vera.io/419583 will be available for
you to view.
vera
Health dashboard

www.vera.io/419583

Food group intake
Your BMI vs NY
9%

34

11%

31.5

38%

29

12%

26.5
24
April

June

August October

31%
You
Meat

Vegetables

Starches

Fruits

Dairy

NY Average
vera

Extensible, contributory, powerful.
•
•
•
•
•

As natural language processing gets more powerful, so do Vera’s capabilities
User-input can be more complex than text. Possibilities including eyetracking, speech records, and photographs
This can bring high-tech diagnostic power to the low-tech battlegrounds of
healthcare
Data can be anonymous to construct a massive database of metrics
Freely accessible database allows researchers to test hypotheses against
millions of self-reported anonymous data points

We’re excited!
Built for NYS Health Data Code-a-thon
By Ethan Bond, Femi King, and Raymond Jacobson

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Vera

  • 1. vera An SMS/text message health-tracker for underserved demographics. APIs/Technology Used health.data.ny.gov DTII Prevention Tips node.js, coffeescript Firebase Twilio Datasets Used Effect of BMI on Lifetime Risk for Diabetes in the U.S. Health Indicators Warehouse Pew Internet & American Life + unlimited extensibility Built for NYS Health Data Code-a-thon By Ethan Bond, Femi King, and Raymond Jacobson
  • 2. vera Health-tech relies on high-tech. But low-tech communities need it the most. • • • Accessible personal health monitoring for underserved communities Highly extensible platform Utilize and contribute to open datasets me: Vera? ! vera: Hey there, I’m Vera. It’s a pleasure to meet you. What’s your name? For example: ‘name: Robert’
  • 3. vera vera: Ethan, I have to ask you some questions! What’s your age in years? For example: ‘age: 20’ vera: Good evening Ethan! Just checking in. What did you eat today? For example ‘foods: pizza, steak’ me: age: 19 me: foods: salad, steak, green beans ! ! vera: Great! How tall are you in inches? Don’t be shy! For example: ‘height: 60’ ! me: height: 69 ! vera: How much do you weigh in pounds? For example: ‘weight: 215’ ! me: weight: 202 ! vera: Nice! Your BMI is 30 which is obese. Together we can fix that up. To see how, type ‘info’ and learn what I can do. I’ll check back with you tomorrow to get started, so start eating healthy! Type ‘tips’ to learn how. ! ! vera: Great! That’s a definite step up. Keep it up and I’ll be asking for progress in a few days! ! ! ! ! me: get data ! vera: It’s important to see progress over time. For the next day, vera.io/419583 will be available for you to view.
  • 4. vera Health dashboard www.vera.io/419583 Food group intake Your BMI vs NY 9% 34 11% 31.5 38% 29 12% 26.5 24 April June August October 31% You Meat Vegetables Starches Fruits Dairy NY Average
  • 5. vera Extensible, contributory, powerful. • • • • • As natural language processing gets more powerful, so do Vera’s capabilities User-input can be more complex than text. Possibilities including eyetracking, speech records, and photographs This can bring high-tech diagnostic power to the low-tech battlegrounds of healthcare Data can be anonymous to construct a massive database of metrics Freely accessible database allows researchers to test hypotheses against millions of self-reported anonymous data points We’re excited! Built for NYS Health Data Code-a-thon By Ethan Bond, Femi King, and Raymond Jacobson