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Computer-generated Automatic Alerts of Respiratory Distress after Blood Transfusion

Computer-generated Automatic Alerts of Respiratory Distress after Blood Transfusion AbstractTransfusion-related acute lung injury (TRALI), the leading cause of transfusion-related death, is underreported by clinicians. For TRALI research, a clinician-independent, computerized system has been developed to detect patients with acute respiratory distress posttransfusion. A computer system generates an alert when a blood gas result indicated a PaO2:FiO2 ratio below 300, within twelve hours of blood issued from the blood bank for a patient. The system was prospectively compared to conventional daily rounds in intensive care units (ICUs). We found that ICU rounds detected 9 of 14 patients (64%), while the computer system detected 13 of 14 patients (93%), p = 0.125. ICU rounds took two to three hours per day, while the computer system took one to one and one-half hours per day of investigator time. In conclusion, an automatic computer alert system was more efficient, and was as effective as conventional daily ICU rounds, in detecting patients with posttransfusion acute respiratory distress. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of the American Medical Informatics Association Oxford University Press

Computer-generated Automatic Alerts of Respiratory Distress after Blood Transfusion

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References (6)

Publisher
Oxford University Press
Copyright
American Medical Informatics Association
ISSN
1067-5027
eISSN
1527-974X
DOI
10.1197/jamia.M2538
pmid
18308991
Publisher site
See Article on Publisher Site

Abstract

AbstractTransfusion-related acute lung injury (TRALI), the leading cause of transfusion-related death, is underreported by clinicians. For TRALI research, a clinician-independent, computerized system has been developed to detect patients with acute respiratory distress posttransfusion. A computer system generates an alert when a blood gas result indicated a PaO2:FiO2 ratio below 300, within twelve hours of blood issued from the blood bank for a patient. The system was prospectively compared to conventional daily rounds in intensive care units (ICUs). We found that ICU rounds detected 9 of 14 patients (64%), while the computer system detected 13 of 14 patients (93%), p = 0.125. ICU rounds took two to three hours per day, while the computer system took one to one and one-half hours per day of investigator time. In conclusion, an automatic computer alert system was more efficient, and was as effective as conventional daily ICU rounds, in detecting patients with posttransfusion acute respiratory distress.

Journal

Journal of the American Medical Informatics AssociationOxford University Press

Published: May 1, 2008

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