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Public Health Informatics—New Opportunities for Public
Health Practitioners
Philadelphia Department of Public Health
Caroline C. Johnson, MD
Health Informatics
“…the intersection of information science, computer science, and health care. It deals with the resources, devices, and methods required to optimize the acquisition, storage, retrieval, and use of information in health…”
Communicable Disease Surveillance Data
Systems
Electronic Transmission
Fax, phone, mail
Direct Data Entry
Disease Epidemiology
Outbreak Recognition
Guide Program Activities
Reporting to Other Agencies
Case Tx & Management
Inputs Outputs
2009 – H1N1 Vaccine Administration Reporting
5
Impact of Health Informatics on Public Health Practice
Data processing is quicker and more accurate
High volume diseases can be addressed
New types of data accessible
High-risk events more easily recognized
Public Health Informatics in Action:ELR - Data Managed Quicker
% Cases thru ELR0%
20%
40%
60%
80%
100%
2010 2011 2012 2013
Mean # Days til Action0
3
6
9
12
2010 2011 2012 2013
Public Health Informatics in Action:High Volume Diseases Can Be
Addressed
2010 2011 2012 20130
4,000
8,000
12,000
16,000
20,000
24,000
11,14012,820
14,539
19,785Positive HCV Test Reports
Public Health Informatics in Action:New Types of Data- Syndromic
Surveillance• Growing adoption since 2001 Anthrax attacks• Leverage real-time or near real-time data from ERs• Used for early detection of public health concerns
(bioterrorism, disaster monitoring, outbreaks, trends) Non-traditional disease surveillance• De-identified, pre-diagnostic data • Not intended for notifiable disease surveillance
• PhiladelphiaHome-grown system started in 2002 Transitioning to Pennsylvania Department of Health’s
system, EpiCenter16 of 22 Hospitals with EDs reporting (~2300 daily visits)
Philadelphia ED Surveillance:Opiate Overdoses March 2014
1/1/2
013
1/14/2
013
1/27/2
013
2/9/2
013
2/22/2
013
3/7/2
013
3/20/2
013
4/2/2
013
4/15/2
013
4/28/2
013
5/11/2
013
5/24/2
013
6/6/2
013
6/19/2
013
7/2/2
013
7/15/2
013
7/28/2
013
8/10/2
013
8/23/2
013
9/5/2
013
9/18/2
013
10/1/2
013
10/14/2
013
10/27/2
013
11/9/2
013
11/22/2
013
12/5/2
013
12/18/2
013
12/31/2
013
1/13/2
014
1/26/2
014
2/8/2
014
2/21/2
014
3/6/2
014
3/19/2
0140
5
10
15
20
25
30
35
overdosesmean (u)u+3stdev
Public Health Informatics in Action:
High-risk Events More Easily Recognized
Automated cluster recognition
TimePlacePerson