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Automatic Electronic Laboratory-Based Reporting of Notifiable Infectious Diseases

Electronic laboratory-based reporting, developed by the University of Pittsburgh Medical Center (UPMC) Health System, was evaluated to determine if it could be integrated into the conventional paper-based reporting system. We reviewed reports of 10 infectious diseases from 8 UPMC hospitals that repo...

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Detalles Bibliográficos
Autores principales: Panackal, Anil A., Tsui, Fu-Chiang, McMahon, Joan, Wagner, Michael M., Dixon, Bruce W., Zubieta, Juan, Phelan, Maureen, Mirza, Sara, Morgan, Juliette, Jernigan, Daniel, Pasculle, A. William, Rankin, James T., Hajjeh, Rana A., Harrison, Lee H.
Formato: Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2002
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2730325/
https://www.ncbi.nlm.nih.gov/pubmed/12095435
http://dx.doi.org/10.3201/eid0807.010493
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author Panackal, Anil A.
Tsui, Fu-Chiang
McMahon, Joan
Wagner, Michael M.
Dixon, Bruce W.
Zubieta, Juan
Phelan, Maureen
Mirza, Sara
Morgan, Juliette
Jernigan, Daniel
Pasculle, A. William
Rankin, James T.
Hajjeh, Rana A.
Harrison, Lee H.
author_facet Panackal, Anil A.
Tsui, Fu-Chiang
McMahon, Joan
Wagner, Michael M.
Dixon, Bruce W.
Zubieta, Juan
Phelan, Maureen
Mirza, Sara
Morgan, Juliette
Jernigan, Daniel
Pasculle, A. William
Rankin, James T.
Hajjeh, Rana A.
Harrison, Lee H.
author_sort Panackal, Anil A.
collection PubMed
description Electronic laboratory-based reporting, developed by the University of Pittsburgh Medical Center (UPMC) Health System, was evaluated to determine if it could be integrated into the conventional paper-based reporting system. We reviewed reports of 10 infectious diseases from 8 UPMC hospitals that reported to the Allegheny County Health Department in southwestern Pennsylvania during January 1–November 26, 2000. Electronic reports were received a median of 4 days earlier than conventional reports. The completeness of reporting was 74% (95% confidence interval [CI] 66% to 81%) for the electronic laboratory-based reporting and 65% (95% CI 57% to 73%) for the conventional paper-based reporting system (p>0.05). Most reports (88%) missed by electronic laboratory-based reporting were caused by using free text. Automatic reporting was more rapid and as complete as conventional reporting. Using standardized coding and minimizing free text usage will increase the completeness of electronic laboratory-based reporting.
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spelling pubmed-27303252009-09-16 Automatic Electronic Laboratory-Based Reporting of Notifiable Infectious Diseases Panackal, Anil A. Tsui, Fu-Chiang McMahon, Joan Wagner, Michael M. Dixon, Bruce W. Zubieta, Juan Phelan, Maureen Mirza, Sara Morgan, Juliette Jernigan, Daniel Pasculle, A. William Rankin, James T. Hajjeh, Rana A. Harrison, Lee H. Emerg Infect Dis Research Electronic laboratory-based reporting, developed by the University of Pittsburgh Medical Center (UPMC) Health System, was evaluated to determine if it could be integrated into the conventional paper-based reporting system. We reviewed reports of 10 infectious diseases from 8 UPMC hospitals that reported to the Allegheny County Health Department in southwestern Pennsylvania during January 1–November 26, 2000. Electronic reports were received a median of 4 days earlier than conventional reports. The completeness of reporting was 74% (95% confidence interval [CI] 66% to 81%) for the electronic laboratory-based reporting and 65% (95% CI 57% to 73%) for the conventional paper-based reporting system (p>0.05). Most reports (88%) missed by electronic laboratory-based reporting were caused by using free text. Automatic reporting was more rapid and as complete as conventional reporting. Using standardized coding and minimizing free text usage will increase the completeness of electronic laboratory-based reporting. Centers for Disease Control and Prevention 2002-07 /pmc/articles/PMC2730325/ /pubmed/12095435 http://dx.doi.org/10.3201/eid0807.010493 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Research
Panackal, Anil A.
Tsui, Fu-Chiang
McMahon, Joan
Wagner, Michael M.
Dixon, Bruce W.
Zubieta, Juan
Phelan, Maureen
Mirza, Sara
Morgan, Juliette
Jernigan, Daniel
Pasculle, A. William
Rankin, James T.
Hajjeh, Rana A.
Harrison, Lee H.
Automatic Electronic Laboratory-Based Reporting of Notifiable Infectious Diseases
title Automatic Electronic Laboratory-Based Reporting of Notifiable Infectious Diseases
title_full Automatic Electronic Laboratory-Based Reporting of Notifiable Infectious Diseases
title_fullStr Automatic Electronic Laboratory-Based Reporting of Notifiable Infectious Diseases
title_full_unstemmed Automatic Electronic Laboratory-Based Reporting of Notifiable Infectious Diseases
title_short Automatic Electronic Laboratory-Based Reporting of Notifiable Infectious Diseases
title_sort automatic electronic laboratory-based reporting of notifiable infectious diseases
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2730325/
https://www.ncbi.nlm.nih.gov/pubmed/12095435
http://dx.doi.org/10.3201/eid0807.010493
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