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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Centers for Disease Control and Prevention
2002
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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. |
format | Text |
id | pubmed-2730325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2002 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
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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