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Welcome
Welcoming Remarks
Commissioner Brill
Health Data Flows
Latanya Sweeney
Chief Technologist, FTC
@TechFTC lsweeney@ftc.gov theDataMap.org
Transparency Establishes Trust 
Disclaimer
The views and opinions in this presentation 
represent my own and are not necessarily 
those of the U.S. Federal Trade Commission.  
These views are for the benefit 
of public discourse and public education, 
and are not necessarily an opinion regarding 
any position I may take 
on related issues decided 
by the FTC. 
Transparency Establishes Trust
Establishes Distrust
You, the Patient Physician, Hospital
thedatamap.org
Pharmacy
Payer (Insurer)
Law
Firms
Pharmacy Benefits Manager
Employer (Yours, Spouse’s)
Employer’s Wellness Program
Life Insurance Company
Accreditation
Vital Statistics
Researcher
Consulting Physician
You, the Patient Physician, Hospital
Transcriptio
n
Pharmacy
CDC
Pharmaceutical Company
Pharmacy Benefits Manager
Analytics
ICU Management
Researcher
Consulting Physician
Health IT
Other GovernmentFederal Trade Commission
You, the Patient Physician, Hospital
Real Estate
Media
Discharge Data
Education
Accreditation
Law & Justice
Prescription Analytics
Law
Firms
Care Facility
Clearing House
De-identification
Coding
Licensing
Vital Statistics
Registries
Social Services
Public Health
Clinical Lab
Copy&Transport
Associations
Debt Collection
Employer’s Wellness Program
Life Insurance Company
Personal Health Record
Online Websites
Medical Devices
Financial
Blood & Tissue
Employer
Personal Transport
Home Health
Retirement & Disability
Social Support
Human Resources
Disease Management
Mental & Addiction
Dental/Vision
Payer (Insurer)
SSA
Employee Union
Transcriptio
n
Pharmacy
CDC
Pharmaceutical Company
Pharmacy Benefits Manager
Analytics
ICU Management
Researcher
Consulting Physician
Health IT
Other Government
Federal Trade Commission
You, the Patient Physician, Hospital
Real Estate
Media
Discharge Data
Education
Accreditation
Law & Justice
Prescription Analytics
Law
Firms
Care Facility
Clearing House
De-identification
Coding
Licensing
Vital Statistics
Registries
Social Services
Public Health
Clinical Lab
Copy&Transport
Associations
Debt Collection
Employer’s Wellness Program
Life Insurance Company
Personal Health Record
Online Websites
Medical Devices
Financial
Blood & Tissue
Employer
Personal Transport
Home Health
Retirement & Disability
Social Support
Human Resources
Disease Management
Mental & Addiction
Dental/Vision
Payer (Insurer)
SSA
Employee Union
Flows not covered by HIPAA
Transcriptio
n
Pharmacy
CDC
Pharmaceutical Company
Pharmacy Benefits Manager
Analytics
ICU Management
Researcher
Consulting Physician
Health IT
Other GovernmentFederal Trade Commission
You, the Patient Physician, Hospital
Media
Education
Accreditation
Law & Justice
Prescription Analytics
Law
Firms
Care Facility
Clearing House
De-identification
Coding
Licensing
Vital Statistics
Registries
Social Services
Public Health
Clinical Lab
Copy&Transport
Associations
Debt Collection
Employer’s Wellness Program
Life Insurance Company
Personal Health Record
Online Websites
Medical Devices
Blood & Tissue
Employer
Personal Transport
Home Health
Retirement & Disability
Social Support
Human Resources
Disease Management
Dental/Vision
Payer (Insurer)
SSA
Employee Union
Real Estate
Financial
Mental & Addiction
Discharge Data
33 States Sell or Share Personal Health Data
Hooley S and Sweeney L. Survey of Publicly‐Available State Health Databases. Paper 1075. 2013. 
thedatamap.org/states.html
Only 3 States Use HIPAA Standards
Hooley S and Sweeney L. Survey of Publicly‐Available State Health Databases. Paper 1075. 2013. 
thedatamap.org/states.html
Transcriptio
n
Pharmacy
CDC
Pharmaceutical Company
Pharmacy Benefits Manager
Analytics
ICU Management
Researcher
Consulting Physician
Health IT
Other GovernmentFederal Trade Commission
You, the Patient Physician, Hospital
Real Estate
Media
Discharge Data
Education
Accreditation
Law & Justice
Prescription Analytics
Law
Firms
Care Facility
Clearing House
De-identification
Coding
Licensing
Vital Statistics
Registries
Social Services
Public Health
Clinical Lab
Copy&Transport
Associations
Debt Collection
Employer’s Wellness Program
Life Insurance Company
Personal Health Record
Online Websites
Medical Devices
Financial
Blood & Tissue
Employer
Personal Transport
Home Health
Retirement & Disability
Social Support
Human Resources
Disease Management
Mental & Addiction
Dental/Vision
Payer (Insurer)
SSA
Employee Union
Transcriptio
n
Pharmacy
CDC
Pharmaceutical Company
Pharmacy Benefits Manager
Analytics
ICU Management
Researcher
Consulting Physician
Health IT
Other GovernmentFederal Trade Commission
You, the Patient Physician, Hospital
Real Estate
Media
Discharge Data
Education
Accreditation
Law & Justice
Prescription Analytics
Law
Firms
Care Facility
Clearing House
De-identification
Coding
Licensing
Vital Statistics
Registries
Social Services
Public Health
Clinical Lab
Copy&Transport
Associations
Debt Collection
Employer’s Wellness Program
Life Insurance Company
Personal Health Record
Online Websites
Medical Devices
Financial
Blood & Tissue
Employer
Personal Transport
Home Health
Retirement & Disability
Social Support
Human Resources
Disease Management
Mental & Addiction
Dental/Vision
Payer (Insurer)
SSA
Employee Union
Washington State Health Database
43% news stories re‐identified
Sweeney L. Matching Known Patients to Health Records in Washington State Data. Paper 1089. 2013. 
thedatamap.org/risks.html
News stories have same information that others know. 
Employers, Creditors, Family, Friends and Neighbors
@TechFTC lsweeney@ftc.gov theDataMap.org
Transparency Establishes Trust 
A Snapshot of Data Sharing by 
Select Health and Fitness Apps
FTC Staff’s Preliminary Observations
Jah‐Juin “Jared” Ho
Sheryl Novick
Mobile Technology Unit
Federal Trade Commission
Christina Yeung
Division of Planning and Information
Federal Trade Commission
Name
Username
MAC
Language
Carrier Provider
Device Model
Weight
Geolocation
DOB
Age
Gender
CALORIES BURNED
Hydration
Symptom Searches
?
Privacy Rights Clearinghouse
Mobile Health and Fitness Applications and Information Privacy‐ July 2013
• Examined 43 free and paid health and fitness apps
o Wearables not included
• Traffic analysis and privacy policy review
• Findings:
o 26% of the free apps and 40% of the paid apps did not have a privacy policy
o 39% of the free apps and 30% of the paid apps sent data to someone not
disclosed by the developer either in-app or in any privacy policy they found
o 13% of the free apps and 10% of the paid apps encrypted all data
connections between the app and the developer’s website.
• Conclusion:
“Our research brought us to the conclusion that, from a privacy perspective,
mobile health and fitness applications are not particularly safe when it comes to
protecting user privacy.”
Source: https://www.privacyrights.org/mobile-medical-apps-privacy-consumer-report.pdf
Evidon
A Healthy Data Set‐ September 2013
• Tested 20 health and fitness apps
• Found the presence of 70 third parties
• “These companies are typically advertising and
analytics companies, who attempt to better match
advertisements to users who will buy; and who work
to help app developers increase functionality and
usability, respectively.”
•
Source: http://www.evidon.com/blog/healthy-data-set
WHO and WHAT?
Reconceptualizing the Evidon Study
: app
: third party
Health & Fitness App Snapshot
Methodology
• Twelve apps and two wearables
• App traffic analysis
• Mapped the data sets
Health & Fitness App Snapshot
Limitations
• One device
• Only Free Apps
• Front-end testing only
• Did not review privacy policies
App Example
One app transmitted information to 18 different 3rd parties. 
Information included:
*Device Information
*Device & 3rd Party Identifiers
*Consumer Specific Identifiers
*Workout/Route Information
*Diet Information : app
: third party
: developer
: app
: third party
: app
: third party
Observation #1
18 third‐parties received Device Specific Identifiers
such as:
*Device ID
*MAC address
*IMEI
Observation #2
14 third‐parties received 
Consumer Specific Identifiers such as:
*Username
*Name
*Email Address
: app
: third party
Observation #3
22 third‐parties received additional
information about consumers such as:
*Exercise Information
*Meal/Diet Information
*Medical/Symptom Search Information
*Zip code
*Geolocation
*Gender
: app
: third party
Summary of Observations
• Health and fitness apps collect and transmit to third parties sensitive 
information about our bodies and our habits.
• The 12 apps tested transmitted information to 76 different third‐parties. 
This information included:
‐Device Information;
‐Consumer specific identifiers;
‐Unique device IDs capable of allowing 3rd parties to track users’
devices across apps;
‐Unique 3rd party IDs capable of allowing 3rd parties to track
users’ devices across apps; and 
‐Consumer information such as exercise routine, dietary
habits, and symptom searches.
• There are significant privacy implications where health routines,  
dietary habits, and symptom searches are capable of being aggregated using
identifiers unique to that consumer.
Panel Discussion
• Christopher R. Burrow, M.D., EVP Medical Affairs, 
Humetrix
• Joseph Lorenzo Hall, Chief Technologist, Center for 
Democracy & Technology
• Sally Okun, RN, MMHS, Vice President of Advocacy, 
Policy & Patient Safety, PatientsLikeMe
• Heather Patterson, Postdoctoral Research Fellow, 
New York University
• Joy Pritts, Chief Privacy Officer, Office of the 
National Coordinator for Health Information 
Technology, Department of Health & Human 
Services
Mobile Anytime/Anywhere Access
to Personal Health Records
Mobile Anytime/Anywhere Access
to Personal Health Records
36
Access to e‐Health Records is a Right Ensured by HIPAA 
Important tools like Electronic Health Records (EHRs) and Personal Health Records 
(PHRs) will make it easier, safer, and faster for you to get access to your health 
information and stay engaged.
Important tools like Electronic Health Records (EHRs) and Personal Health Records 
(PHRs) will make it easier, safer, and faster for you to get access to your health 
information and stay engaged.
iBlueButton Display & Aggregation of TRICARE, VA,  Medicare 
Blue Button  and  EMR Records (Epic, Cerner, Allscripts etc…)
© Humetrix 2014
Patient Generated Data 
Health Care Proxy and Prior Discharge Summaries
Imported into iBlueButton
Consumer‐Controlled Mobile Health Record Access & Exchange
EHRs
from 
diverse 
sources 
(e.g. 
hospitals, 
payers, 
HCP 
groups)
40
iBlueButton for Medicare Beneficiaries: Three Years of 
Medical History in Patients’ Hands for their Safety 
From Blue Button… to
From a 300
page Blue Button
ASCII text claims
record to…
…a mobile longitudinal health record
available at every Point of Care
susan.jones@direct.ibluebutton.com
© Humetrix 2014
Providers Transmit Records to their Patients’ Unique iBlueButton Address  
using the Secure Federal Direct Transport Standard
iBlueButton App generates a Direct Address for each Profile
iBlueButton: Display of Medicare, EMR,  
VA and TRICARE records with Real Time Aggregated View
© Humetrix 2014
43
© Humetrix 2014
Patient Generated Data
Medication and Condition Annotations and Privacy Settings
iBlueButton Privacy Policy and ONC PHR Model Privacy Notice
Panel Discussion
• Christopher R. Burrow, M.D., EVP Medical Affairs, 
Humetrix
• Joseph Lorenzo Hall, Chief Technologist, Center for 
Democracy & Technology
• Sally Okun, RN, MMHS, Vice President of Advocacy, 
Policy & Patient Safety, PatientsLikeMe
• Heather Patterson, Postdoctoral Research Fellow, 
New York University
• Joy Pritts, Chief Privacy Officer, Office of the 
National Coordinator for Health Information 
Technology, Department of Health & Human 
Services

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