Transcript the powerpoint presentation

BioSense 2.0: A Distributed Novel Model for
Collecting, Aggregating, Sharing and Analyzing
Health Data
Institute for People and Technology (IPaT) Talk
Tuesday October 9th 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
Shared
Spaces
Jurisdiction
Health Care
Providers
http://biosense2.org | [email protected]
Public-Access
BioSense 2.0
A Novel Model for Sharing Health Care Information and Beyond
EHR
Shared
Spaces
Jurisdiction
Health Care
Providers
http://biosense2.org | [email protected]
Public-Access
BioSense 2.0
A Novel Model for Sharing Health Care Information and Beyond
BioSense 2.0 Enterprise
data.biosen.se
Linux virtual
machine
Apache
PHINMS
VPN Mirth
secure FTP
NwHIN (Direct Project,
Connect, etc.
credentials,
metadata
Payload*
Email
Direct
Data Elements
Response
Data Extractor/
Loader
Response
Payload*
Response
CONNECT
Admin Dist
*Payload consists of.xml, .csv, HL7 2.x and CDA
data.biosen.se
(mirth)
BioSense 2.0 Data Input
Data
Providers
•
•
•
•
•
•
PHIN-MS
NwHIN-Connect or Direct
SFTP
Mirth-to-Mirth
VPN
HTTPS
BioSense 2.0 System hosted
in the Internet GovCloud
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
T
Stage
Meaningful Use Base Table
Visit Record
Jurisdiction
Locker
Internet
GovCloud
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
NETSS
Flat Files
NBS
Master
Message
(XML)
Receive
Acknowledge
Event
Report
from
State
Data Analysis
HL7
Messages
Receiving:
1) Parse
2) Validate
3) Store
NEDSS
Database and
Message
Archive
Access Interface
(API) Simplifying and
unifying how NEDSS
data is accessed
MMWR Reporting
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
@kasshout
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)