Syndromic Surveillance System
Case Study: Implementing a Syndromic Surveillance System
Veronica Bruno, Carlos Duclos, Titilayo Ojo,
Ricky Richardson, and Angie Wellman
HCS/533
January 12, 2015
Aimee Kirkendol
Case Study: Implementing a Syndromic Surveillance System
Introduction
Innovative electronic surveillance systems became a way for the health departments try to detect possible outbreaks of diseases including possible the use of chemicals from terrorist. Syndromic surveillance may use methods to detect outbreaks for certain individuals or used for the general population. Health indicators monitor disease trends by using health data in actual time making immediate analysis and feedback possible. These indicators are evidence of outbreaks before diagnoses …show more content…
In order to help ensure, quality data hospitals must implement and continue to upgrade their electronic healthcare record system. The CMS offers incentive programs, also known as meaningful use programs, to help ensure quality data. Knowing the issues and interactions affecting electronic health record data, developers continue to improve ways to detect and monitor outbreaks. It is imperative hospitals use the recommendations from the International Society for Disease Surveillance ("Cdc", …show more content…
Poor data quality will weaken awareness of disease epidemiology, alter program objectives, and hinder the ability to meet the disease control objectives. Syndromic surveillance systems must also avoid duplicating data to improve its effectiveness to detect outbreaks of diseases ("Monitoring Data Quality in Syndromic Surveillance: Learnings from a Resource-Limited Setting," 2012).
Variations in the data
The data is intended to be used to see if there is an increase in a symptom or group of symptoms that might identify something that is going on in the community or globally. The data needs to be of great quality to ensure the appropriate steps are being taken to keep the public protected. The information can be used to update the public on an epidemic but could cause criticism if it is an overreaction or an under-reaction. The agency needs to provide education for the reporting hospitals on the importance of the quality data.
Understanding data trends includes observing if change had taken place and keeping in mind variations always exists. Developing surveillance systems consist of variable data quality and must have comprehensive indicators at all system levels including core and support surveillance purposes for
Veronica Bruno, Carlos Duclos, Titilayo Ojo,
Ricky Richardson, and Angie Wellman
HCS/533
January 12, 2015
Aimee Kirkendol
Case Study: Implementing a Syndromic Surveillance System
Introduction
Innovative electronic surveillance systems became a way for the health departments try to detect possible outbreaks of diseases including possible the use of chemicals from terrorist. Syndromic surveillance may use methods to detect outbreaks for certain individuals or used for the general population. Health indicators monitor disease trends by using health data in actual time making immediate analysis and feedback possible. These indicators are evidence of outbreaks before diagnoses …show more content…
In order to help ensure, quality data hospitals must implement and continue to upgrade their electronic healthcare record system. The CMS offers incentive programs, also known as meaningful use programs, to help ensure quality data. Knowing the issues and interactions affecting electronic health record data, developers continue to improve ways to detect and monitor outbreaks. It is imperative hospitals use the recommendations from the International Society for Disease Surveillance ("Cdc", …show more content…
Poor data quality will weaken awareness of disease epidemiology, alter program objectives, and hinder the ability to meet the disease control objectives. Syndromic surveillance systems must also avoid duplicating data to improve its effectiveness to detect outbreaks of diseases ("Monitoring Data Quality in Syndromic Surveillance: Learnings from a Resource-Limited Setting," 2012).
Variations in the data
The data is intended to be used to see if there is an increase in a symptom or group of symptoms that might identify something that is going on in the community or globally. The data needs to be of great quality to ensure the appropriate steps are being taken to keep the public protected. The information can be used to update the public on an epidemic but could cause criticism if it is an overreaction or an under-reaction. The agency needs to provide education for the reporting hospitals on the importance of the quality data.
Understanding data trends includes observing if change had taken place and keeping in mind variations always exists. Developing surveillance systems consist of variable data quality and must have comprehensive indicators at all system levels including core and support surveillance purposes for