BioSense 2.0: A Distributed Novel Model for
Collecting, Aggregating, Sharing and Analyzing
Health Data
Institute for People and Technology (IPaT) Talk
Tuesday October 9 th 2012, 3:00pm
Georgia Tech, TSRB Auditorium
Taha A. Kass-Hout, MD, MS
Director
Division of Informatics Solutions and Operations (DISO)
Any views or opinions expressed here do not necessarily represent the views of the CDC, HHS, or any other entity of the United States government. Furthermore, the use of any product names, trade names, images, or commercial sources is for identification purposes only, and does not imply endorsement or government sanction by the U.S. Department of Health and Human Services.
Public Health Surveillance and Informatics Program Office (PHSIPO, Proposed )
Office of Surveillance, Epidemiology, & Laboratory Services (OSELS)

What is Public Health:
A View
Public health is "the science and art of preventing disease, prolonging life and promoting health through the organized efforts and informed choices of society, organizations, public and private, communities and individuals ”
(1920, C.E.A. Winslow)

Digital Disease Detection http://www.nytimes.com/2011/06/14/health/research/14social.html?pagewanted=all

Digital Disease Detection

BioSense 2.0
A Novel Model for Sharing Health Care Information and Beyond http://biosense2.org
| info@biosen.se
Shared
Spaces
Jurisdiction
Health Care
Providers
Public-Access

BioSense 2.0
A Novel Model for Sharing Health Care Information and Beyond
EHR http://biosense2.org
| info@biosen.se
Shared
Spaces
Jurisdiction
Health Care
Providers
Public-Access

BioSense 2.0
A Novel Model for Sharing Health Care Information and Beyond

BioSense 2.0 Enterprise

data.biosen.se
Apache
PHINMS
Linux virtual machine
VPN Mirth secure FTP
NwHIN (Direct Project,
Connect, etc.
credentials, metadata

Email
Direct
Payload*
Response
Admin Dist
CONNECT
Payload*
Response
Data Extractor/
Loader
Data Elements
Response
*Payload consists of .xml, .csv, HL7 2.x and CDA data.biosen.se
(mirth)

Data
Providers
BioSense 2.0 Data Input
Internet
GovCloud
• PHIN-MS
• NwHIN-Connect or Direct
• SFTP
• Mirth-to-Mirth
• VPN
• HTTPS
BioSense 2.0 System hosted in the Internet GovCloud

BioSense 2.0 NIST Meaningful Use Certification
Test Procedures (ED and Urgent Care) http://lri.sipilotdevelopment.org/mu-syndromic

BioSense 2.0 Data Matriculation
Stage 1 Stage 2 Stage 3
E L
Stage
Meaningful Use Base Table
Visit Record
T
Internet
GovCloud
Jurisdiction
Locker

Jurisdiction Locker
Jurisdiction
Locker

BioSense 2.0 Automatic Processing
Meaningful Use Base Table
Internet
GovCloud
Analysis Data Mart (ADM)
Normalization
Process

BioSense 2.0 Data Access Tools
SSH Terminal
BioSense Application phpMyAdmin
R Studio

www.biosen.se
Linux virtual machine

phpMyAdmin
Record Browsing

R Studio
Statistical Analysis

SSH Window
Direct mySql Access

BioSense 2.0
A Novel Model for Sharing Health Care Information and Beyond
Top 20 Conditions in BioSense 2.0 in 2012

BioSense 2.0
A Novel Model for Sharing Health Care Information and Beyond
1 2
3
Feature: Sharing among multiple jurisdictions during an event (e.g., Influenza season, or a pandemic)

BioSense 2.0
A Novel Model for Sharing Health Care Information and Beyond
Feature: Ad-hoc sharing among multiple jurisdictions during a sporting event (e.g., Super Bowl 2012)

BioSense 2.0
A Novel Model for Sharing Health Care Information and Beyond
Feature: Anomaly detection during heat-wave season

BioSense 2.0
A Novel Model for Sharing Health Care Information and Beyond
Feature: Advanced analytics

Digital Disease Detection
Monitoring Emergency Rooms Visits Post H1N1 http://www.google.com/publicdata/explore?ds=z46e2n1b69u8mu_

Digital Disease Detection
Citizen Reporting (Participatory Surveillance) http://www.cdc.gov/biosense/correlate | http://www.google.com/trends/correlate

Next Steps: PH Surveillance Platform (PHSP)

PHSP Example - A Unified Approach to Case
Notification Processing, Validation, Archival,
Analysis, and Access
Receive
NETSS
Flat Files
NBS
Master
Message
(XML)
Acknowledge
Event
Report from
State
Data Analysis
HL7
Messages
Receiving :
1) Parse
2) Validate
3) Store
NEDSS
Database and
Message
Archive
MMWR Reporting
Access Interface
(API ) Simplifying and unifying how NEDSS data is accessed Message Monitoring
& Error Analysis

PHSP Example - A Unified Approach to Case
Notification Processing, Validation, Archival,
Analysis, and Access

PHSP Example - A Unified Approach to Case
Notification Processing, Validation, Archival,
Analysis, and Access

PHSP Example - Preventative Care Value of
Health Information Exchanges: The ABCDS of
Preventive Health
 ABCDS: Low cost preventions that can have a high impact on the overall health of a population
 A – Aspirin Therapy
 B – Blood Pressure monitoring
 C – Cholesterol Screening
 D – Diabetes monitoring
 S – Smoking Cessation
“It’s really a first foray into whether you can repurpose information, not violate patients privacy or expose providers, and use it for something of value and see how health is progressing in the state,” Culver said. “This is a very low cost, with a lot of value.”

PHSP Example - Preventative Care Value of
Health Information Exchanges: The ABCDS of
Preventive Health

Thank YOU!
Taha A. Kass-Hout, MD, MS
Director
Division of Informatics Solutions and Operations (DISO)
@kasshout
Any views or opinions expressed here do not necessarily represent the views of the CDC, HHS, or any other entity of the United States government. Furthermore, the use of any product names, trade names, images, or commercial sources is for identification purposes only, and does not imply endorsement or government sanction by the U.S. Department of Health and Human Services.
Public Health Surveillance and Informatics Program Office (PHSIPO, Proposed )
Office of Surveillance, Epidemiology, & Laboratory Services (OSELS)