Improving red blood cell orders, utilization, and management with point-of-care clinical decision support

Transfusion

Volumn 55, Issue 9, 2015, Pages 2086-2094

  McKinney, Zeke J ^a   Peters, Jessica M ^b   Gorlin, Jed B ^b,c   Perry, Elizabeth H ^b,c  

^a UNIVERSITY OF MINNESOTA   (United States)

^b HENNEPIN COUNTY MEDICAL CENTER   (United States)

^c Medical Support and Research   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HEMOGLOBIN;

ACUTE DISEASE; ADULT; ANEMIA; ARTICLE; BLEEDING; CLINICAL DECISION MAKING; COMPUTERIZED PROVIDER ORDER ENTRY; CONTROLLED STUDY; ERYTHROCYTE TRANSFUSION; HEALTH CARE POLICY; HEALTH CARE UTILIZATION; HUMAN; MAJOR CLINICAL STUDY; POINT OF CARE TESTING; RETROSPECTIVE STUDY; SAFETY NET HOSPITAL; TRANSFUSION MEDICINE; DECISION SUPPORT SYSTEM; EMERGENCY HEALTH SERVICE; ERYTHROCYTE; FEMALE; HOSPITAL INFORMATION SYSTEM; MALE; STANDARDS;

DECISION SUPPORT SYSTEMS, CLINICAL; ERYTHROCYTE TRANSFUSION; ERYTHROCYTES; FEMALE; HUMANS; MALE; MEDICAL ORDER ENTRY SYSTEMS; POINT-OF-CARE SYSTEMS; RETROSPECTIVE STUDIES; TRAUMA CENTERS;

EID: 84941802687     PISSN: 00411132     EISSN: 15372995     Source Type: Journal    
DOI: 10.1111/trf.13103     Document Type: Article

References (24)

1. Vamvakas EC, Blajchman MA,. Transfusion-related mortality: the ongoing risks of allogeneic blood transfusion and the available strategies for their prevention. Blood 2009; 113: 3406-17.
2. US Department of Health and Human Services. The 2011 national blood collection and utilization survey report. Washington (DC): Department of Health and Human Services; 2013 [cited 2014 Aug 2]. Available from: http://www.hhs.gov/ash/bloodsafety/2011-nbcus.pdf
3. Carson JL, Grossman BJ, Kleinman S, et al., Red blood cell transfusion: a clinical practice guideline from the AABB. Ann Intern Med 2012; 157: 49-58.
4. Carson JL, Carless PA, Hebert PC,. Transfusion thresholds and other strategies for guiding allogeneic red blood cell transfusion. Cochrane Database Syst Rev 2012; 4: CD002042.
5. Hogshire L, Carson JL,. Red blood cell transfusion: what is the evidence when to transfuse? Curr Opin Hematol 2013; 20: 546-51.
6. Salpeter SR, Buckley JS, Chatterjee S,. Impact of more restrictive blood transfusion strategies on clinical outcomes: a meta-analysis and systematic review. Am J Med 2014; 127: 124-31.e3.
7. Ma M, Eckert K, Ralley F, et al., A retrospective study evaluating single-unit red blood cell transfusions in reducing allogeneic blood exposure. Transfus Med 2005; 15: 307-12.
8. Rothschild JM, Mcgurk S, Honour M, et al., Assessment of education and computerized decision support interventions for improving transfusion practice. Transfusion 2007; 47: 228-39.
9. Oliver JC, Griffin RL, Hannon T, et al., The success of our patient blood management program depended on an institution-wide change in transfusion practices. Transfusion 2014; 54: 2617-24.
10. Callum JL, Waters JH, Shaz BH, et al., The AABB recommendations for the Choosing Wisely campaign of the American Board of Internal Medicine. Transfusion 2014; 54: 2344-52.
11. Hibbs SP, Noel S, Miles D, et al., The impact of electronic decision support and electronic remote blood issue on transfusion practice. Transfus Med 2014; 24: 274-9.
12. Yerrabothala S, Desrosiers KP, Szczepiorkowski ZM, 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. Transfusion 2014; 54: 2640-5.
13. Combes JR, Arespacochaga E., Appropriate use of medical resources. Chicago (IL): American Hospital Association's Physician Leadership Forum; 2013.
14. Jamal A, Mckenzie K, Clark M,. The impact of health information technology on the quality of medical and health care: a systematic review. HIM J 2009; 38: 26-37.
15. Black AD, Car J, Pagliari C, et al., The impact of eHealth on the quality and safety of health care: a systematic overview. PLoS Med 2011; 8: e1000387.
16. Weir CR, Staggers N, Laukert T,. Reviewing the impact of computerized provider order entry on clinical outcomes: the quality of systematic reviews. Int J Med Inform 2012; 81: 219-31.
17. Hibbs SP, Nielsen ND, Brunskill S, et al., The impact of electronic decision support on transfusion practice: a systematic review. Transfus Med Rev 2015; 29: 14-23.
18. Rana R, Afessa B, Keegan MT, et al., Evidence-based red cell transfusion in the critically ill: quality improvement using computerized physician order entry. Crit Care Med 2006; 34: 1892.
19. Fernández Pérez ER, Winters JL, Gajic O,. The addition of decision support into computerized physician order entry reduces red blood cell transfusion resource utilization in the intensive care unit. Am J Hematol 2007; 82: 631-3.
20. Adams ES, Longhurst CA, Pageler N, et al., Computerized physician order entry with decision support decreases blood transfusions in children. Pediatrics 2011; 127: e1112-9.
21. Goodnough LT, Shieh L, Hadhazy E, et al., Improved blood utilization using real-time clinical decision support. Transfusion 2014; 54: 1358-65.
22. McWilliams B, Triulzi DJ, Waters JH, et al., Trends in RBC ordering and use after implementing adaptive alerts in the electronic computerized physician order entry system. Am J Clin Pathol 2014; 141: 534-41.
23. Frank SM, Resar LM, Rothschild JA, et al., A novel method of data analysis for utilization of red blood cell transfusion. Transfusion 2013; 53: 3052-9.
24. Minnesota Department of Health. Trauma system report FY2012. St Paul (MN): Minnesota Department of Health; 2014 [cited 2014 Aug 2]. Available from: http://www.health.state.mn.us/traumasystem/pubs/publications/annrptfy12.pdf