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As of 2018, 80 percent of laboratory reports are received electronically by health departments, greatly
        reducing the manual administrative burden of paper-based laboratory reporting.  However, limitations
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        still exist when exchanging reportable data between the laboratory and health care providers, and few
        laboratories within CDC have implemented ELR. As a result, manual reporting methods such as phone
        calls, emails, and faxes are still relied upon heavily.

        Syndromic Surveillance


        The 9/11 terrorist attacks and the subsequent anthrax attack using the United States Postal Service
        demonstrated a strong need for non-traditional public health surveillance methods that provided early
        detection of emerging public health threats. The process of identifying a potential case, submitting a
        clinical sample to public health laboratories, conducting testing, and reporting a result can be long and
        drawn out. In many instances, by the time a diagnosis is confirmed through conventional data sharing the
        outbreak has likely spread. To stay ahead of public health threats, the advent of syndromic surveillance
        created a faster, near real-time early warning system that provided data based on clinical symptoms prior
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        to a definitive diagnosis.
        By relying on clinical indicators, syndromic surveillance systems collect data from hospital emergency
        departments and urgent care, or can be used with other data sources such as school or work absenteeism,
        over-the-counter medicine sales, emergency medicine service runs, poison center calls, and spikes in
        keywords used in social media or internet searches such as “flu” and “fever.” Although originally developed
        to monitor bioterrorism events, it has become a tool to monitor outbreaks, drug overdoses, environmental
        conditions, natural disasters, and other public health threats. This enables early situational awareness to
        federal, state, territorial, local, and tribal public health agencies.

        Many public health departments have adopted syndromic surveillance as a part of their broader public
        health surveillance strategies because it serves a vital role in population health monitoring, as well as
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        emergency preparedness and response efforts.  While syndromic surveillance can enhance public health
        surveillance, it comes with limitations and thus cannot supplant traditional methods. Despite these
        limitations, syndromic surveillance adds valuable public health data and can be incredibly useful in an
        overall response.

        Electronic Vital Records Systems


        The National Center for Health Statistics (NCHS) within CDC is responsible for overseeing and
        coordinating the National Vital Statistics System (NVSS). NVSS collects detailed information from the
        vital records jurisdictions—50 states, five territories, the District of Columbia, and New York City—that are
        legally responsible for tracking the millions of births and deaths that occur each year. These data enable
        public health authorities to track key indicators of population health status such as life expectancy, infant
        and maternal mortality rates, pregnancy rates, and health disparities at the federal, state, territorial, local,
        and tribal levels.
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        8  Office of Public Health Scientific Services. CDC Public Health Surveillance Strategy Report: 2014-2018. cdc.gov. https://www.cdc.gov/surveillance/pdfs/Surveillance-Series-Bookleth.pdf. Published
          September, 2018.
        9  Henning K. Overview of Syndromic Surveillance What is Syndromic Surveillance? MMWR. 2004; 53(Suppl):5-11. https://www.cdc.gov/mmwr/preview/mmwrhtml/su5301a3.htm. Published
          September 24, 2004. Accessed May 1, 2019.
        10  Ibid.
        11  Ventura SJ. The U.S. National Vital Statistics System: Transitioning into the 21st century, 1990–2017. Vital and Health Statistics. 2018;1(62). https://www.cdc.gov/nchs/data/series/sr_01/
          sr01_062.pdf. Published March 2018.



        Driving Public Health in the Fast Lane                                                                50
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