The impact of electronic decision support on transfusion practice: a systematic review.

Decision support systems (DSSs) provide clinicians with tailored treatment recommendations by combining individual patient information and local guidelines. The objective of this systematic review was to assess the effects of electronic DSS on blood product ordering practices. Eligible studies were identified from searches of MEDLINE, Embase, CINAHL, The Cochrane Library, PubMed, and the Transfusion Evidence Library from January 2000 to April 2014. Of these, 23 articles were eligible, resulting in the inclusion of 20 independent studies in this systematic review. There was a significant variation in study population, the type of DSS used, and outcome reporting. All but one study used a before-after design without any element of randomization. Overall, there is good evidence that implementation of a DSS improves red blood cell usage. The effect of a DSS on plasma, platelets, and cryoprecipitate usage is less clear probably because fewer studies have been conducted focusing on these products. In addition, the introduction of a DSS resulted in cost savings in the 7 studies that reported financial outcomes. Patient outcomes were generally not studied in detail, and there were few data on the sustainability of the effect of DSS. Further data are needed to assess the effect of a DSS on blood products other than red blood cell, and future studies should standardize reporting of outcomes.

[1]  Melissa M. Honour,et al.  Assessment of education and computerized decision support interventions for improving transfusion practice , 2007, Transfusion.

[2]  Chi-Jung Yeh,et al.  Transfusion audit of fresh‐frozen plasma in southern Taiwan , 2006, Vox sanguinis.

[3]  G. Bimenya,et al.  Surgical blood order equation in femoral fracture surgery , 2011, Transfusion medicine.

[4]  R. Sarode,et al.  Prospective monitoring of plasma and platelet transfusions in a large teaching hospital results in significant cost reduction , 2010, Transfusion.

[5]  E. Balas,et al.  Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success , 2005, BMJ : British Medical Journal.

[6]  R Brian Haynes,et al.  Features of effective computerised clinical decision support systems: meta-regression of 162 randomised trials , 2013, BMJ : British Medical Journal.

[7]  K. Wilson,et al.  The effectiveness of interventions to reduce physician's levels of inappropriate transfusion: what can be learned from a systematic review of the literature , 2002, Transfusion.

[8]  M. Keegan,et al.  Toward the prevention of acute lung injury: Protocol-guided limitation of large tidal volume ventilation and inappropriate transfusion* , 2007, Critical care medicine.

[9]  O. Hartmann,et al.  Implementation of a specific approval process for blood-components prescription , 2000, The Lancet.

[10]  K. Wilson,et al.  Reducing the amount of blood transfused: a systematic review of behavioral interventions to change physicians' transfusion practices. , 2005, Archives of internal medicine.

[11]  L. Shieh,et al.  Improved blood utilization using real‐time clinical decision support , 2014, Transfusion.

[12]  Chao-Sung Chang,et al.  The appropriateness and physician compliance of platelet usage by a computerized transfusion decision support system in a medical center , 2010, Transfusion.

[13]  O. Gajic,et al.  The addition of decision support into computerized physician order entry reduces red blood cell transfusion resource utilization in the intensive care unit , 2007, American journal of hematology.

[14]  S. Andersson,et al.  A simple automatized audit system for following and managing practices of platelet and plasma transfusions in a neonatal intensive care unit , 2004, Transfusion medicine.

[15]  N. Dunbar,et al.  Significant reduction in red blood cell transfusions in a general hospital after successful implementation of a restrictive transfusion policy supported by prospective computerized order auditing , 2014, Transfusion.

[16]  R. Stoddard,et al.  Implementing a program to improve compliance with neonatal intensive care unit transfusion guidelines was accompanied by a reduction in transfusion rate: a pre‐post analysis within a multihospital health care system , 2011, Transfusion.

[17]  Eric Widen,et al.  Computerized Physician Order Entry With Decision Support Decreases Blood Transfusions in Children , 2011, Pediatrics.

[18]  H. Mcdonald,et al.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. , 2005, JAMA.

[19]  T. Hannon,et al.  The success of our patient blood management program depended on an institution‐wide change in transfusion practices , 2014, Transfusion.

[20]  Chao-Sung Chang,et al.  The effects of a computerized transfusion decision support system on physician compliance and its appropriateness for fresh frozen plasma use in a medical center. , 2011, American journal of clinical pathology.

[21]  V. Pettilä,et al.  Computerized quality assurance of decisions to transfuse blood components to critically ill patients , 2003, Acta anaesthesiologica Scandinavica.

[22]  J. Strouse,et al.  Computerized Physician Order Entry Improves Compliance With a Manual Exchange Transfusion Protocol in the Pediatric Intensive Care Unit , 2014, Journal of pediatric hematology/oncology.

[23]  G. Nuttall,et al.  Evidence-based red cell transfusion in the critically ill: Quality improvement using computerized physician order entry* , 2006, Critical care medicine.

[24]  D. Triulzi,et al.  Evaluation of real-time clinical decision support systems for platelet and cryoprecipitate orders. , 2014, American journal of clinical pathology.

[25]  J. Waters,et al.  How do I implement a hospital‐based blood management program? , 2012, Transfusion.

[26]  D. Triulzi,et al.  Effectiveness of a real‐time clinical decision support system for computerized physician order entry of plasma orders , 2013, Transfusion.

[27]  Chao-Sung Chang,et al.  The physician compliance of red blood cell transfusion by computerized transfusion decision support system , 2012, The Kaohsiung journal of medical sciences.

[28]  D. Triulzi,et al.  Trends in RBC ordering and use after implementing adaptive alerts in the electronic computerized physician order entry system. , 2014, American Journal of Clinical Pathology.

[29]  A. Tinmouth Reducing the amount of blood transfused by changing clinicians' transfusion practices , 2007, Transfusion.

[30]  R. Haynes,et al.  Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review. , 1998, JAMA.