tetano
Editor, Senior Moderator
J Am Med Inform Assoc. 2013 Jun 6. [Epub ahead of print]
Influenza surveillance using electronic health records in the American Indian and Alaska Native population.
Keck JW, Redd JT, Cheek JE, Layne LJ, Groom AV, Kitka S, Bruce MG, Suryaprasad A, Amerson NL, Cullen T, Bryan RT, Hennessy TW.
Source
Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Abstract
OBJECTIVE:
Increasing use of electronic health records (EHRs) provides new opportunities for public health surveillance. During the 2009 influenza A (H1N1) virus pandemic, we developed a new EHR-based influenza-like illness (ILI) surveillance system designed to be resource sparing, rapidly scalable, and flexible. 4 weeks after the first pandemic case, ILI data from Indian Health Service (IHS) facilities were being analyzed.
MATERIALS AND METHODS:
The system defines ILI as a patient visit containing either an influenza-specific International Classification of Disease, V.9 (ICD-9) code or one or more of 24 ILI-related ICD-9 codes plus a documented temperature ≥100?F. EHR-based data are uploaded nightly. To validate results, ILI visits identified by the new system were compared to ILI visits found by medical record review, and the new system's results were compared with those of the traditional US ILI Surveillance Network.
RESULTS:
The system monitored ILI activity at an average of 60% of the 269 IHS electronic health databases. EHR-based surveillance detected ILI visits with a sensitivity of 96.4% and a specificity of 97.8% based on chart review (N=2375) of visits at two facilities in September 2009. At the peak of the pandemic (week 41, October 17, 2009), the median time from an ILI visit to data transmission was 6 days, with a mode of 1 day.
DISCUSSION:
EHR-based ILI surveillance was accurate, timely, occurred at the majority of IHS facilities nationwide, and provided useful information for decision makers. EHRs thus offer the opportunity to transform public health surveillance.
KEYWORDS:
Data Collection, Electronic Health Records, Epidemiologic Methods, Influenza, Human, Medical Informatics Applications, Population Surveillance
PMID:
23744788
[PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/23744788
Influenza surveillance using electronic health records in the American Indian and Alaska Native population.
Keck JW, Redd JT, Cheek JE, Layne LJ, Groom AV, Kitka S, Bruce MG, Suryaprasad A, Amerson NL, Cullen T, Bryan RT, Hennessy TW.
Source
Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Abstract
OBJECTIVE:
Increasing use of electronic health records (EHRs) provides new opportunities for public health surveillance. During the 2009 influenza A (H1N1) virus pandemic, we developed a new EHR-based influenza-like illness (ILI) surveillance system designed to be resource sparing, rapidly scalable, and flexible. 4 weeks after the first pandemic case, ILI data from Indian Health Service (IHS) facilities were being analyzed.
MATERIALS AND METHODS:
The system defines ILI as a patient visit containing either an influenza-specific International Classification of Disease, V.9 (ICD-9) code or one or more of 24 ILI-related ICD-9 codes plus a documented temperature ≥100?F. EHR-based data are uploaded nightly. To validate results, ILI visits identified by the new system were compared to ILI visits found by medical record review, and the new system's results were compared with those of the traditional US ILI Surveillance Network.
RESULTS:
The system monitored ILI activity at an average of 60% of the 269 IHS electronic health databases. EHR-based surveillance detected ILI visits with a sensitivity of 96.4% and a specificity of 97.8% based on chart review (N=2375) of visits at two facilities in September 2009. At the peak of the pandemic (week 41, October 17, 2009), the median time from an ILI visit to data transmission was 6 days, with a mode of 1 day.
DISCUSSION:
EHR-based ILI surveillance was accurate, timely, occurred at the majority of IHS facilities nationwide, and provided useful information for decision makers. EHRs thus offer the opportunity to transform public health surveillance.
KEYWORDS:
Data Collection, Electronic Health Records, Epidemiologic Methods, Influenza, Human, Medical Informatics Applications, Population Surveillance
PMID:
23744788
[PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/23744788