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 | info@biosen.se

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 | info@biosen.se

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

Email

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