Literature DB >> 17174220

Increasing patient safety and efficiency in transfusion therapy using formal process definitions.

Elizabeth A Henneman1, George S Avrunin, Lori A Clarke, Leon J Osterweil, Chester Andrzejewski, Karen Merrigan, Rachel Cobleigh, Kimberly Frederick, Ethan Katz-Bassett, Philip L Henneman.   

Abstract

The administration of blood products is a common, resource-intensive, and potentially problem-prone area that may place patients at elevated risk in the clinical setting. Much of the emphasis in transfusion safety has been targeted toward quality control measures in laboratory settings where blood products are prepared for administration as well as in automation of certain laboratory processes. In contrast, the process of transfusing blood in the clinical setting (ie, at the point of care) has essentially remained unchanged over the past several decades. Many of the currently available methods for improving the quality and safety of blood transfusions in the clinical setting rely on informal process descriptions, such as flow charts and medical algorithms, to describe medical processes. These informal descriptions, although useful in presenting an overview of standard processes, can be ambiguous or incomplete. For example, they often describe only the standard process and leave out how to handle possible failures or exceptions. One alternative to these informal descriptions is to use formal process definitions, which can serve as the basis for a variety of analyses because these formal definitions offer precision in the representation of all possible ways that a process can be carried out in both standard and exceptional situations. Formal process definitions have not previously been used to describe and improve medical processes. The use of such formal definitions to prospectively identify potential error and improve the transfusion process has not previously been reported. The purpose of this article is to introduce the concept of formally defining processes and to describe how formal definitions of blood transfusion processes can be used to detect and correct transfusion process errors in ways not currently possible using existing quality improvement methods.

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Year:  2007        PMID: 17174220     DOI: 10.1016/j.tmrv.2006.08.007

Source DB:  PubMed          Journal:  Transfus Med Rev        ISSN: 0887-7963


  5 in total

1.  Online deviation detection for medical processes.

Authors:  Stefan C Christov; George S Avrunin; Lori A Clarke
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

2.  Development of electronic medical record charting for hospital-based transfusion and apheresis medicine services: Early adoption perspectives.

Authors:  Rebecca Levy; Liron Pantanowitz; Darlene Cloutier; Jean Provencher; Joan McGirr; Jennifer Stebbins; Suzanne Cronin; Josh Wherry; Joseph Fenton; Eileen Donelan; Vandita Johari; Chester Andrzejewski
Journal:  J Pathol Inform       Date:  2010-07-13

3.  Towards the creation of a flexible classification scheme for voluntarily reported transfusion and laboratory safety events.

Authors:  Julie M Whitehurst; John Schroder; Dave Leonard; Monica M Horvath; Heidi Cozart; Jeffrey Ferranti
Journal:  J Biomed Semantics       Date:  2012-05-18

4.  Transfusion Practices Committee of a public blood bank network in Minas Gerais, Brazil.

Authors:  Ricardo Vilas Freire de Carvalho; Stela Brener; Angela Melgaço Ferreira; Marcele Cunha Ribeiro do Valle; Helio Moraes-Souza
Journal:  Rev Bras Hematol Hemoter       Date:  2012

5.  Evaluation of a two-sample process for prevention of ABO mistransfusions in a high volume academic hospital.

Authors:  Chad Glisch; Zeeshan Jawa; Alina Brener; Erica Carpenter; Jerome Gottschall; Angela Treml; Matthew Scott Karafin
Journal:  BMJ Open Qual       Date:  2018-07-15
  5 in total

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