Enabling ESSENCE to Process and Export Meaningful Use Syndromic Surveillance Data

Authors

  • Miles Stewart Johns Hopkins University Applied Physics Laboratory
  • Wayne Loschen Johns Hopkins University Applied Physics Laboratory
  • Taha Kass-Hout Public Health Surveillance and Informatics Program Office, Office of Surveillance, Epidemiology, & Laboratory Services, Centers for Disease Control and Prevention

DOI:

https://doi.org/10.5210/ojphi.v5i1.4524

Abstract

This presentation will detail the technical hurdles with reading a meaningful use syndromic surveillance data feed containing multiple sources, deriving a common meaning from the varying uses of the standard and writing data out to a meaningful use HL7 2.5 format that can be exported to other tools, such as BioSense 2.0. The presentation will also describe the technologies employed for facilitating this, such as Mirth, and will discuss how other systems could utilize these tools to also support processing meaningful use syndromic surveillance data.

Author Biography

Miles Stewart, Johns Hopkins University Applied Physics Laboratory

Miles Stewart is an Associate Professional Staff member at the Johns Hopkins University Applied Physics Laboratory (JHU/APL). He holds a B.S. in Computer Science from the University of Maryland, Baltimore County. His recent work includes the technical development of ESSENCE.

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Published

2013-03-23

How to Cite

Stewart, M., Loschen, W., & Kass-Hout, T. (2013). Enabling ESSENCE to Process and Export Meaningful Use Syndromic Surveillance Data. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4524

Issue

Section

Oral Presentations: Meaningful Use