Displaying results 1 - 8 of 47
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A Demonstration of Meaningfully Using the ISDS Recommended Data Elements
Content Type: Abstract
National Health IT Initiatives are helping to advance the state of automated disease surveillance through incentives to health care facilities to implement electronic medical records and provide data to health departments and use collaborativeā¦ read more -
The Evolution of ESSENCE
Content Type: Abstract
In development for over fourteen years, ESSENCE is a disease surveillance system utilized by public health stakeholders at city, county, state, regional, national, and global levels. The system was developed by a team from the Johns Hopkinsā¦ read more -
Analytic Fusion of ESSENCE Clinical Evidence Sources for Routine Decision Support
Content Type: Abstract
Block 3 of the US Military Electronic Surveillance System for Early Notification of Community-Based Epidemics (ESSENCE) system affords routine access to multiple sources of data. These include administrative clinical encounter records in theā¦ read more -
A collaboration to enhance detection of disease outbreaks clustered by time of patient arrival
Content Type: Abstract
One objective of public health surveillance is detecting disease outbreaks by looking for changes in the disease occurrence, so that control measures can be implemented and the spread of disease minimized. For this purpose, theā¦ read more -
Floridaās ESSENCE system - from syndromic surveillance to routine epidemiologic analysis across syndromic and non-syndromic data sources
Content Type: Abstract
Federal laws and national directives have focused attention on the development of more robust biosurveillance systems intended to detect events of public health interest in a timelier manner. Presidential Decision Directive 21 calls for integratedā¦ read more -
ESSENCE Q & A v4.0
Content Type: Webinar
Held on March 14, 2019. During this 90-minute session, Aaron Kite-Powell, M.S., from CDC and Wayne Loschen, M.S., from JHU-APL provided updates on the NSSP ESSENCE platform and answered the community's questionsā¦ read more -
Time of Arrival Analysis in NC DETECT to Find Clusters of Interest from Unclassified Patient Visit Records
Content Type: Abstract
TOA identifies clusters of patients arriving to a hospital ED within a short temporal interval. Past implementations have been restricted to records of patients with a specific type of complaint. The Florida Department of Health uses TOA at theā¦ read more -
Confusing Standards: Common Misconceptions about Disease Surveillance Standards
Content Type: Abstract
Domains go through phases of existence, and the electronic disease surveillance domain is no different. This domain has gone from an experimental phase, where initial prototyping and research tried to define what was possible, to a utility phaseā¦ read more