Implementation of a clinical decision support system improves compliance with restrictive transfusion policies in hematology patients

Transfusion

Volumn 55, Issue 8, 2015, Pages 1964-1971

  Butler, Caroline E ^a,b   Noel, Simon ^b,c   Hibbs, Stephen P ^a,b   Miles, David ^c   Staves, Julie ^c   Mohaghegh, Payam ^c   Altmann, Paul ^c   Curnow, Elinor ^b   Murphy, Michael F ^b,c  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b JOHN RADCLIFFE HOSPITAL   (United Kingdom)

^c OXFORD UNIVERSITY HOSPITALS NHS FOUNDATION TRUST   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

HEMOGLOBIN;

ADULT; ARTICLE; BLOOD TRANSFUSION; CLINICAL DECISION SUPPORT SYSTEM; DECISION SUPPORT SYSTEM; ERYTHROCYTE TRANSFUSION; FEMALE; HEALTH CARE POLICY; HEMATOLOGIC DISEASE; HEMOGLOBIN BLOOD LEVEL; HUMAN; MAJOR CLINICAL STUDY; MALE; OUTCOME ASSESSMENT; PROTOCOL COMPLIANCE; THROMBOCYTE COUNT; THROMBOCYTE TRANSFUSION; AGED; BLOOD; CLINICAL PRACTICE; HEMATOLOGIC DISEASES; INAPPROPRIATE PRESCRIBING; MIDDLE AGED; PRACTICE GUIDELINE; PRESCRIPTION; STANDARDS; STATISTICS AND NUMERICAL DATA; UNNECESSARY PROCEDURE; UTILIZATION;

ADULT; AGED; DECISION SUPPORT SYSTEMS, CLINICAL; ERYTHROCYTE TRANSFUSION; FEMALE; GUIDELINE ADHERENCE; HEMATOLOGIC DISEASES; HEMOGLOBINS; HUMANS; INAPPROPRIATE PRESCRIBING; MALE; MIDDLE AGED; PHYSICIAN'S PRACTICE PATTERNS; PLATELET COUNT; PLATELET TRANSFUSION; PRACTICE GUIDELINES AS TOPIC; PRESCRIPTIONS; UNNECESSARY PROCEDURES;

EID: 84938964154     PISSN: 00411132     EISSN: 15372995     Source Type: Journal    
DOI: 10.1111/trf.13075     Document Type: Article

References (12)

1. Goodnough LT, Levy JH, Murphy MF,. Concepts of blood transfusion in adults. Lancet 2013; 381: 1845-54.
2. Murphy MF, Fraser E, Miles D, et al., How do we monitor hospital transfusion practice using an end-to-end electronic transfusion management system? Transfusion 2012; 52: 2502-12.
3. Yazer MH, Waters JH,. How do I implement a hospital-based blood management program? Transfusion 2012; 52: 1640-5.
4. 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.
5. Hibbs SP, Noel S, Miles D, et al., Impact of electronic decision support and electronic remote blood issue on transfusion practice. Transfus Med 2014; 24: 274-9.
6. Frank SM, Resar LM, Rothschild JA, et al., A novel method of data analysis for utilization of red blood cell transfusions. Transfusion 2014; 53: 3052-9.
7. 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.
8. Tinmouth A, Macdougall L, Fergusson D, et al., Reducing the amount of blood transfused: a systematic review of behavioral interventions to change physicians' transfusion practices. Arch Intern Med 2005; 165: 845-52.
9. Wilson K, MacDougall L, Fergusson D, 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. Transfusion 2002; 42: 1224-9.
10. Goodnough LT, Shieh L, Hadhazy E, et al., Improved blood utilization using real-time clinical decision support. Transfusion 2014; 54: 1358-65.
11. 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.
12. 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.