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Public Health Informatics—New Opportunities for Public Health Practitioners

Public Health Informatics—New Opportunities for Public Health Practitioners. Philadelphia Department of Public Health Caroline C. Johnson, MD. Health Informatics.

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Public Health Informatics—New Opportunities for Public Health Practitioners

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  1. Public Health Informatics—New Opportunities for Public Health Practitioners Philadelphia Department of Public Health Caroline C. Johnson, MD

  2. 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…”

  3. Inputs Outputs Case Tx & Management Fax, phone, mail Disease Epidemiology Communicable Disease Surveillance Data Systems Electronic Transmission Outbreak Recognition Guide Program Activities Direct Data Entry Reporting to Other Agencies

  4. 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

  6. Public Health Informatics in Action:ELR - Data Managed Quicker

  7. Public Health Informatics in Action:High Volume Diseases Can Be Addressed Positive HCV Test Reports

  8. 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 • Philadelphia • Home-grown system started in 2002 • Transitioning to Pennsylvania Department of Health’s system, EpiCenter • 16 of 22 Hospitals with EDs reporting (~2300 daily visits)

  9. Philadelphia ED Surveillance:Opiate Overdoses March 2014

  10. Public Health Informatics in Action:High-risk Events More Easily Recognized Automated cluster recognition • Time • Place • Person

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