Literature DB >> 1557808

Improving blood transfusion practice: role of a computerized hospital information system.

E F Lepage1, R M Gardner, R M Laub, O K Golubjatnikov.   

Abstract

The recent focus on medical risk and financial cost has prompted a need for better guidelines for prescribing the transfusion of blood components. In 1987, to respond to the issues of quality transfusion practice and accurate evaluation, LDS Hospital (Salt Lake City, UT) began using a computerized, knowledge-based blood-ordering system. Each transfusion request was reviewed and flagged by the computer when it did not meet the criteria established by the medical staff. The study reviewed the use of red cells, platelets, and fresh-frozen plasma in 13,082 transfusion orders for 5847 consecutive patients from July 1, 1988, through June 30, 1989. The evaluation assessed, first, the adherence of physicians to computerized criteria and, second, their adherence to the quality of transfusion practice. A high percentage of the blood units ordered met the established criteria: 91.2 percent for the red cell transfusions, 72.9 percent for platelets, and 81.7 percent for fresh-frozen plasma. From the July 1, 1987, implementation date through June 1989, the mean hematocrit of persons being transfused dropped from 28.6 to 27.7 percent (0.29 = 0.28) (p less than 0.005) and the number of orders requiring review by the quality assurance department dropped from 100 to 14 percent; moreover, there was a true-exception rate of only 0.37 percent. The use of the computer system effected the implementation of the following measures: 1) identification of the indications and establishment of clear clinical and biologic parameters for every transfusion, and 2) measurement and improvement of institutional transfusion practice. These results demonstrated the efficacy of a computerized hospital information system in implementing continuous quality improvement for transfusion practice.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1992        PMID: 1557808     DOI: 10.1046/j.1537-2995.1992.32392213810.x

Source DB:  PubMed          Journal:  Transfusion        ISSN: 0041-1132            Impact factor:   3.157


  13 in total

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2.  Controlled trial of direct physician order entry: effects on physicians' time utilization in ambulatory primary care internal medicine practices.

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3.  A UMLS-based knowledge acquisition tool for rule-based clinical decision support system development.

Authors:  S L Achour; M Dojat; C Rieux; P Bierling; E Lepage
Journal:  J Am Med Inform Assoc       Date:  2001 Jul-Aug       Impact factor: 4.497

4.  A four-phase model of the evolution of clinical decision support architectures.

Authors:  Adam Wright; Dean F Sittig
Journal:  Int J Med Inform       Date:  2008-03-19       Impact factor: 4.046

5.  Improving response to critical laboratory results with automation: results of a randomized controlled trial.

Authors:  G J Kuperman; J M Teich; M J Tanasijevic; N Ma'Luf; E Rittenberg; A Jha; J Fiskio; J Winkelman; D W Bates
Journal:  J Am Med Inform Assoc       Date:  1999 Nov-Dec       Impact factor: 4.497

Review 6.  The role of medical informatics in telemedicine.

Authors:  T P Clemmer
Journal:  J Med Syst       Date:  1995-02       Impact factor: 4.460

Review 7.  Computer-based physician order entry: the state of the art.

Authors:  D F Sittig; W W Stead
Journal:  J Am Med Inform Assoc       Date:  1994 Mar-Apr       Impact factor: 4.497

8.  Evaluation of user acceptance of a clinical expert system.

Authors:  R M Gardner; H P Lundsgaarde
Journal:  J Am Med Inform Assoc       Date:  1994 Nov-Dec       Impact factor: 4.497

9.  Status quo and future prospects of the total hospital information system of a Japanese medical college.

Authors:  H Yoshihara
Journal:  J Med Syst       Date:  1994-10       Impact factor: 4.460

10.  Embedding guidelines into direct physician order entry: simple methods, powerful results.

Authors:  H L Chin; P Wallace
Journal:  Proc AMIA Symp       Date:  1999
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