Taha A. Kass-Hout, MD, MS

1. 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 Taha A. Kass-Hout, MD, MS Director Division of Informatics Solutions and Operations (DISO) 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.

2. 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)

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

4. Digital Disease Detection

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

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

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

8. BioSense 2.0 Enterprise

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

10. Payload* Email Direct Data Elements data.biosen.se Response Data Extractor / (mirth) Loader Response Payload * Response CONNECT Admin Dist *Payload consists of . xml , . csv , HL 7 2 . x and CDA

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

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

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

14. Jurisdiction Locker Jurisdiction Locker

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

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

17. Linux virtual machine www.biosen.se

18. phpMyAdmin Record Browsing

19. R Studio Statistical Analysis

20. SSH Window Direct mySqlAccess

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

22. BioSense 2.0A 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)

23. BioSense 2.0A 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)

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

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

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

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

28. Next Steps: PH Surveillance Platform (PHSP)

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

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

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

32. 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.”

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

34. Thank YOU! @kasshout Taha A. Kass-Hout, MD, MS Public Health Surveillance and Informatics Program Office (PHSIPO, Proposed) Office of Surveillance, Epidemiology, & Laboratory Services (OSELS) 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.