Electronic medical record (EMR) utilization for public health surveillance.

Zaruhi R. Mnatsakanyan, Daniel J. Mollura, John R. Ticehurst, Mohammad R. Hashemian, Lang M. Hung

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)480-484
Number of pages5
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2008
Externally publishedYes

ASJC Scopus subject areas

  • General Medicine

Fingerprint

Dive into the research topics of 'Electronic medical record (EMR) utilization for public health surveillance.'. Together they form a unique fingerprint.

Cite this