Taha A. Kass-Hout, MD, MS
description
Transcript of Taha A. Kass-Hout, MD, MS
Taha A. Kass-Hout, MD, MSDirectorDivision of Informatics Solutions and Operations (DISO)
BioSense 2.0: A Distributed Novel Model for Collecting, Aggregating, Sharing and Analyzing Health DataInstitute for People and Technology (IPaT) TalkTuesday October 9th 2012, 3:00pmGeorgia Tech, TSRB Auditorium
Public Health Surveillance and Informatics Program Office (PHSIPO, Proposed)Office of Surveillance, Epidemiology, & Laboratory Services (OSELS)
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.
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 2.0A Novel Model for Sharing Health Care Information and
Beyond
http://biosense2.org | [email protected]
Shared Spaces
Jurisdiction
Public-Access
Health Care Providers
Shared Spaces
BioSense 2.0A Novel Model for Sharing Health Care Information and
Beyond
EHR
Jurisdiction
Public-Access
Health Care Providers
http://biosense2.org | [email protected]
BioSense 2.0A Novel Model for Sharing Health Care Information and
Beyond
BioSense 2.0 Enterprise
data.biosen.seApache PHINMS
secure FTP
VPN Mirth
credentials, metadata
NwHIN (Direct Project, Connect, etc.
Linux virtual machine
Direct
CONNECT
Data Extractor/Loader
Admin Dist
ResponseData Elements
Response
Payload*
Payload*
Response
*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
Internet GovCloud
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
StageE TL
Stage 1
Stage 3
Stage 2
Meaningful Use Base Table
Jurisdiction Locker
Internet GovCloud
Visit Record
Jurisdiction Locker
Jurisdiction Locker
BioSense 2.0 Automatic Processing
Analysis Data Mart (ADM)
Normalization
Process
Internet GovCloudMeaningful Use Base
Table
BioSense 2.0 Data Access Tools
BioSense Application
SSH Terminal
phpMyAdmin R Studio
Linux virtual machinewww.biosen.se
phpMyAdmin
Record Browsing
R Studio
Statistical Analysis
SSH Window
Direct mySql Access
Top 20 Conditions in BioSense 2.0 in 2012
BioSense 2.0A Novel Model for Sharing Health Care Information and
Beyond
Feature: Sharing among multiple jurisdictions during an event (e.g., Influenza season, or a pandemic)
BioSense 2.0A Novel Model for Sharing Health Care Information and
Beyond2
3
1
Feature: Ad-hoc sharing among multiple jurisdictions during a sporting event (e.g., Super Bowl 2012)
BioSense 2.0A Novel Model for Sharing Health Care Information and
Beyond
Feature: Anomaly detection during heat-wave season
BioSense 2.0A Novel Model for Sharing Health Care Information and
Beyond
Feature: Advanced analytics
BioSense 2.0A Novel Model for Sharing Health Care Information and
Beyond
Digital Disease DetectionMonitoring Emergency Rooms Visits Post H1N1
http://www.google.com/publicdata/explore?ds=z46e2n1b69u8mu_
Digital Disease DetectionCitizen Reporting (Participatory Surveillance)
http://www.cdc.gov/biosense/correlate | http://www.google.com/trends/correlate
Next Steps: PH Surveillance Platform (PHSP)
Event ReportfromState
Receive
Acknowledge
Receiving: 1) Parse
2) Validate 3) Store
Access Interface (API) Simplifying and unifying how
NEDSS data is accessed
Data Analysis
MMWR Reporting
Message Monitoring& Error Analysis
NEDSS Database
and Message Archive
NETSSFlat Files
NBS Master
Message (XML)
HL7Messages
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 - 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!
Public Health Surveillance and Informatics Program Office (PHSIPO, Proposed)Office of Surveillance, Epidemiology, & Laboratory Services (OSELS)
Taha A. Kass-Hout, MD, MSDirectorDivision 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.
@kasshout