Literature DB >> 8130455

Computerized continuous quality improvement methods used to optimize blood transfusions.

R M Gardner1, P D Christiansen, K E Tate, M B Laub, S R Holmes.   

Abstract

Blood transfusion, although common, is not without risk and expense. Recently there has been a national focus on both overtransfusion and undertransfusion. To provide the best quality of patient care, there must be a balance between both over and undertransfusion. We used a computer system to minimize overtransfusion by prompting physicians when orders that did not meet accepted criteria were made. Continuous quality improvement methods were used to optimize blood transfusions. We also evaluated undertransfusions by assessing patients who did not receive a red cell transfusion when the Hemoglobin or Hematocrit showed it was clearly indicated. Using our computerized alerting system we are able to promptly notify physicians when such conditions exist. Results of the blood ordering show that overtransfusions of red cells have been minimized. Reductions in both mean Hematocrit and the standard deviation have occurred as predicted by continuous quality improvement theory. Assessment of undertransfusions showed that it was a minimal problem, but one that can be easily addressed with our laboratory alerting system.

Entities:  

Mesh:

Year:  1993        PMID: 8130455      PMCID: PMC2248497     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  14 in total

1.  Computer-critiqued blood ordering using the HELP system.

Authors:  R M Gardner; O K Golubjatnikov; R M Laub; J T Jacobson; R S Evans
Journal:  Comput Biomed Res       Date:  1990-12

2.  Development of a computerized laboratory alerting system.

Authors:  K E Bradshaw; R M Gardner; T A Pryor
Journal:  Comput Biomed Res       Date:  1989-12

3.  As the blood supply gets safer, experts still call for ways to reduce the need for transfusions.

Authors:  A A Skolnick
Journal:  JAMA       Date:  1992-08-12       Impact factor: 56.272

4.  Decision support alerts for clinical laboratory and blood gas data.

Authors:  M M Shabot; M LoBue; B J Leyerle; S B Dubin
Journal:  Int J Clin Monit Comput       Date:  1990-01

5.  Continuous improvement as an ideal in health care.

Authors:  D M Berwick
Journal:  N Engl J Med       Date:  1989-01-05       Impact factor: 91.245

6.  A computerized laboratory alerting system.

Authors:  K E Tate; R M Gardner; L K Weaver
Journal:  MD Comput       Date:  1990 Sep-Oct

7.  A non-computer-dependent prospective review of blood and blood component utilization.

Authors:  H Silver; H R Tahhan; J Anderson; M Lachman
Journal:  Transfusion       Date:  1992 Mar-Apr       Impact factor: 3.157

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

Authors:  E F Lepage; R M Gardner; R M Laub; O K Golubjatnikov
Journal:  Transfusion       Date:  1992 Mar-Apr       Impact factor: 3.157

9.  Silent myocardial ischaemia in a patient with anaemia before operation.

Authors:  M R Parsloe; R Wyld; M Fox; C S Reilly
Journal:  Br J Anaesth       Date:  1990-05       Impact factor: 9.166

10.  Relationship between postoperative anemia and cardiac morbidity in high-risk vascular patients in the intensive care unit.

Authors:  A H Nelson; L A Fleisher; S H Rosenbaum
Journal:  Crit Care Med       Date:  1993-06       Impact factor: 7.598

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  2 in total

1.  The anatomy of decision support during inpatient care provider order entry (CPOE): empirical observations from a decade of CPOE experience at Vanderbilt.

Authors:  Randolph A Miller; Lemuel R Waitman; Sutin Chen; S Trent Rosenbloom
Journal:  J Biomed Inform       Date:  2005-10-21       Impact factor: 6.317

2.  Behaviour modification interventions to optimise red blood cell transfusion practices: a systematic review and meta-analysis.

Authors:  Lesley J J Soril; Thomas W Noseworthy; Laura E Dowsett; Katherine Memedovich; Hannah M Holitzki; Diane L Lorenzetti; Henry Thomas Stelfox; David A Zygun; Fiona M Clement
Journal:  BMJ Open       Date:  2018-05-18       Impact factor: 2.692

  2 in total

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