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Displaying results 9 - 16 of 17
  • Quality of Data Used for Syndromic Surveillance

    Content Type: Abstract

    Nearly all of the myriad activities (or use cases) in clinical and public health (e.g., patient care, surveillance, community health assessment, policy) involve generating, collecting, storing, analyzing, or sharing data about individual patients or… read more
    … use cases) in clinical and public health (e.g., patient care, surveillance, community health assessment, policy) … use cases) in clinical and public health (e.g., patient care, surveillance, community health assessment, policy) …
  • The Day-of-the-Week Effect: A Study Across the Indiana Public Health Emergency Surveillance System

    Content Type: Abstract

    Complex, highly parameterized data models are often used to detect syndromic outbreaks. Unfortunately, such models can pose greater maintenance challenges as parameter variations increase. As such, our work focuses on whether day… read more
    … cations of chief complaint as well as the total daily visits. To compare across hospitals, we normalized the … or insignificantly across data sources. We found that visit rates by syndrome varied significantly by DoW Further, …
  • Enhancing Syndromic Surveillance through Cross-border Data Sharing

    Content Type: Abstract

    In the fall of 2006, the Ohio Department of Health (ODH) and the Indiana State Department of Health (ISDH) proactively began general discussions regarding surveillance issues of mutual interest. Both states, having operational… read more
    … was in the partner state, even if a patient sought care outside of the two-county vertical band. RESULTS … gender, patient home zip code, admitted date and time, visit number, and free- text chief complaint. Approximately …
  • A Novel, Context-Sensitive Approach to Anonymizing Spatial Surveillance Data: Impact on Outbreak Detection

    Content Type: Abstract

    The use of spatially-based methods and algorithms in epidemiology and surveillance presents privacy challenges for researchers and public health agencies. We describe a novel method for anonymizing individuals in public health datasets, by… read more
    … set- ting. METHODS Cases were emergency department (ED) visits for respiratory illness. Baseline ED visit data were in- jected with artificially-created …
  • Using Information Entropy to Monitor Chief Complaint Characteristics and Quality

    Content Type: Abstract

    Health care processes consume increasing volumes of digital data. However, creating and leveraging high quality integrated health data is challenging because large-scale health data derives from systems where data is captured from varying workflows… read more
    … Health care processes consume increasing volumes of digital data. … Health care processes consume increasing volumes of digital data. …
  • Towards Estimation of Electronic Laboratory Reporting Volumes in a Meaningful Use World

    Content Type: Abstract

    The American Recovery and Reinvestment Act of 2009 authorized the Centers for Medicare and Medicaid Services (CMS) to incentivize hospitals and physicians to become meaningful users of electronic health record (EHR) systems. In a final rule issued… read more
    … estimation difficult. The Indiana Network for Patient Care (INPC), a regional health information exchange, has … estimation difficult. The Indiana Network for Patient Care (INPC), a regional health information exchange, has …
  • Clinical Versus Public Health Perceptions of Notifiable Disease Reporting Burden

    Content Type: Abstract

    The importance transmitting clinical information to public health for disease surveillance is well-documented. Conventional reporting processes require health care providers to complete paper-based notifiable condition reports which are transmitted… read more
    … Conventional reporting processes require health care providers to complete paper-based notifiable condition … Conventional reporting processes require health care providers to complete paper-based notifiable condition …
  • LAHVA: Linked Animal-Human Health Visual Analytics

    Content Type: Abstract

    This paper describes our integrated visual analytics framework for analyzing both human emergency room data and veterinary hospital data.
    … emergency room data from the Indiana Network for Patient Care (INPC) and all general visits to Ban- field the Pet Hospital, veterinary practices (approxi- mately 70,000 visits per week). METHODS LAHVA combines both human and …