Literature DB >> 25954453

Syndromic surveillance in an ICD-10 world.

Achala Jayatilleke1, Jeffrey Kriseman1, Lisa H Bastin1, Umed Ajani1, Peter Hicks1.   

Abstract

The Centers for Disease Control and Prevention's BioSense program is an integrated national public health surveillance system that uses electronic medical record (EMR) data to provide situational awareness for all-hazard health-related events. Because the system leverages International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) coded data from EMRs for syndromic surveillance, the upcoming Health and Human Services-mandated transition from ICD-9-CM to ICD-10-CM will have a significant impact. To translate across the two encoding systems, we developed a Mapping Reference Table (MRT) for the ICD-9/10 transition. We extracted ICD-9-CM codes binned to predefined syndromes and mapped each to its corresponding ICD-10-CM code(s). Then, we translated the output ICD-10-CM codes back to ICD-9-CM through a reverse translation validation process. Throughout the translation process, we examined outputs manually and incorporated annotated results into the MRT. The resulting MRT can be used to refine and update each existing syndromic surveillance definition in BioSense to be compatible with ICD-10-CM and consistently classify or bin any given emergency department visit into the correct syndrome regardless of coding system.

Entities:  

Mesh:

Year:  2014        PMID: 25954453      PMCID: PMC4419924     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  3 in total

1.  BioSense: implementation of a National Early Event Detection and Situational Awareness System.

Authors:  Colleen A Bradley; H Rolka; D Walker; J Loonsk
Journal:  MMWR Suppl       Date:  2005-08-26

Review 2.  Innovative uses of electronic health records and social media for public health surveillance.

Authors:  Emma M Eggleston; Elissa R Weitzman
Journal:  Curr Diab Rep       Date:  2014-03       Impact factor: 4.810

3.  Summary of data reported to CDC's national automated biosurveillance system, 2008.

Authors:  Jerome I Tokars; Roseanne English; Paul McMurray; Barry Rhodes
Journal:  BMC Med Inform Decis Mak       Date:  2010-05-25       Impact factor: 2.796

  3 in total
  1 in total

1.  Validation of a Syndromic Case Definition for Detecting Emergency Department Visits Potentially Related to Marijuana.

Authors:  Kathryn DeYoung; Yushiuan Chen; Robert Beum; Michele Askenazi; Cali Zimmerman; Arthur J Davidson
Journal:  Public Health Rep       Date:  2017-06-06       Impact factor: 2.792

  1 in total

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