Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2008 Nov 6:2008:480-4.

Electronic medical record (EMR) utilization for public health surveillance

Affiliations

Electronic medical record (EMR) utilization for public health surveillance

Zaruhi R Mnatsakanyan et al. AMIA Annu Symp Proc. .

Abstract

Introduction: Public health surveillance systems need to be refined. We intend to use a generic approach for early identification of patients with severe influenza-like illness (ILI) by calculating a score that estimates a patients disease-severity. Accordingly, we built the Intelligent Severity Score Estimation Model (ISSEM), structured so that the inference process would reflect experts decision-making logic. Each patients disease-severity score is calculated from numbers of respiratory ICD9 encounters, and laboratory, radiologic, and prescription-therapeutic orders in the EMR. Other ISSEM components include chronic disease evidence, probability of immunodeficiency, and the providers general practice-behavior patterns.

Results: Sensitivity was determined from 200 randomly selected patients with upper- and lower-respiratory tract ILI; specificity, from 300 randomly selected patients with URI only. For different age groups, ISSEM sensitivity ranged between 90% and 95%; specificity was 72% to 84%.

Conclusion: Our preliminary assessment of ISSEM performance demonstrated 93.5% sensitivity and 77.3% specificity across all age groups.

PubMed Disclaimer

Figures

Figure 1
Figure 1
ISSEM components
Figure 2
Figure 2
ChronicNet
Figure 3
Figure 3
ImmunodeficiencyNet

References

    1. Lober WB, Karras BT, Wagner MM, et al. Roundtable on bioterrorism detection: Information system-based surveillance JAMIA 2002Mar-Apr 92105–115.doi: 10.1197/jamia.M1052 - PMC - PubMed
    1. Zelicoff AP, Brillman J, Forslund DW, et al. The Rapid Syndrome Validation Project. Proceedings AMIA Symposium. 2001:771–5. - PMC - PubMed
    1. Wagner MM, Tsui FC, Espino JU, et al. The emerging science of very early detection of disease outbreaks. J Public Health Manag Pract. 2001;7:51–9. - PubMed
    1. Bioterrorism Preparedness and Response: Use of Information Technologies and Decision Support SystemsSummary, Evidence Report/Technology Assessment No. 59, July 2002Agency for Healthcare Research and Quality; Rockville, MD: http://ahrq.gov/clinic/epcsums/biotsum.htm - PMC - PubMed
    1. Mandl KD, Overhage JM, Wagner MM, et al. Implementing syndromic surveillance: A practical guide informed by the early experience. JAMIA. 2004 Mar-Apr;11:141–150. - PMC - PubMed

MeSH terms

LinkOut - more resources