help button home button JAMIA Hate scrolling?
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

First published February 28, 2008 as JAMIA PrePrint; doi:10.1197/jamia.M2538
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
M2538v1
15/3/383    most recent
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Google Scholar
Right arrow Articles by Finlay-Morreale, H. E.
Right arrow Articles by Toy, P.
PubMed
Right arrow PubMed Citation
Right arrow Articles by Finlay-Morreale, H. E.
Right arrow Articles by Toy, P.
J Am Med Inform Assoc. 2008;15:383-385. DOI 10.1197/jamia.M2538.
© 2008 American Medical Informatics Association


Case Report

Computer-generated Automatic Alerts of Respiratory Distress after Blood Transfusion

Heather E. Finlay-Morreale, BSa, Clifton Louie, RPh, DPAb and Pearl Toy, MDc,*

a College of Medicine, University of Cincinnati, Cincinnati, OH
b School of Pharmacy, University of California San Francisco, San Francisco, CA
c Department of Laboratory Medicine, School of Medicine, University of California San Francisco, San Francisco, CA.

* Correspondence: Pearl Toy, MD, Department of Laboratory Medicine, School of Medicine, Box 0100, University of California San Francisco, San Francisco, CA 94143-0100 (Email: pearl.toy{at}ucsf.edu).

Received for publication: 06/02/07; accepted for publication: 01/16/08.

Transfusion-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.







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2008 by the American Medical Informatics Association.