Literature DB >> 17238687

Timeliness study of radiology and microbiology reports in a healthcare system for biosurveillance.

Jialan Que1, Fu-Chiang Tsui, Michael M Wagner.   

Abstract

We developed a framework to measure the timeliness of two data types--radiology and microbiology reports--for detection of diseases such as inhalational anthrax (IA) in a healthcare system. We measured the timeliness of a data type as the delay between patient registration in an emergency department (ED) and receipt of data type by a biosurveillance system. We also determined the lower and upper bounds of median delay time (LMDT and UMDT) for the two data types to be available for detection of a single IA case. Based on the data received from the University of Pittsburgh Medical Center (UPMC) Health System, the LMDT time was 1.5 days and UMDT time was 6.4 days. The study provides a range of delay time for detection of a single IA case within a healthcare system, and it may benefit outbreak planning and outbreak model simulation.

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Year:  2006        PMID: 17238687      PMCID: PMC1839281     

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


  1 in total

1.  Technical description of RODS: a real-time public health surveillance system.

Authors:  Fu-Chiang Tsui; Jeremy U Espino; Virginia M Dato; Per H Gesteland; Judith Hutman; Michael M Wagner
Journal:  J Am Med Inform Assoc       Date:  2003-06-04       Impact factor: 4.497

  1 in total
  1 in total

1.  Probabilistic case detection for disease surveillance using data in electronic medical records.

Authors:  Fuchiang Tsui; Michael Wagner; Gregory Cooper; Jialan Que; Hendrik Harkema; John Dowling; Thomsun Sriburadej; Qi Li; Jeremy U Espino; Ronald Voorhees
Journal:  Online J Public Health Inform       Date:  2011-12-22
  1 in total

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