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Items: 1 to 20 of 160

1.

Trends in RBC ordering and use after implementing adaptive alerts in the electronic computerized physician order entry system.

McWilliams B, Triulzi DJ, Waters JH, Alarcon LH, Reddy V, Yazer MH.

Am J Clin Pathol. 2014 Apr;141(4):534-41. doi: 10.1309/AJCPEN6VHT0ECAFI.

PMID:
24619755
2.

Effectiveness of a real-time clinical decision support system for computerized physician order entry of plasma orders.

Yazer MH, Triulzi DJ, Reddy V, Waters JH.

Transfusion. 2013 Dec;53(12):3120-7. doi: 10.1111/trf.12228. Epub 2013 Apr 30.

PMID:
23627673
3.

Implementation of a simple electronic transfusion alert system decreases inappropriate ordering of packed red blood cells and plasma in a multi-hospital health care system.

Smith M, Triulzi DJ, Yazer MH, Rollins-Raval MA, Waters JH, Raval JS.

Transfus Apher Sci. 2014 Dec;51(3):53-8. doi: 10.1016/j.transci.2014.10.022. Epub 2014 Nov 18.

PMID:
25458903
4.

Evaluation of real-time clinical decision support systems for platelet and cryoprecipitate orders.

Collins RA, Triulzi DJ, Waters JH, Reddy V, Yazer MH.

Am J Clin Pathol. 2014 Jan;141(1):78-84. doi: 10.1309/AJCP1OSRTPUJE9XS.

PMID:
24343740
5.

Prescribers' responses to alerts during medication ordering in the long term care setting.

Judge J, Field TS, DeFlorio M, Laprino J, Auger J, Rochon P, Bates DW, Gurwitz JH.

J Am Med Inform Assoc. 2006 Jul-Aug;13(4):385-90. Epub 2006 Apr 18.

6.

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

Butler CE, Noel S, Hibbs SP, Miles D, Staves J, Mohaghegh P, Altmann P, Curnow E, Murphy MF.

Transfusion. 2015 Aug;55(8):1964-71. doi: 10.1111/trf.13075. Epub 2015 Apr 23.

PMID:
25906831
7.

Improved blood utilization using real-time clinical decision support.

Goodnough LT, Shieh L, Hadhazy E, Cheng N, Khari P, Maggio P.

Transfusion. 2014 May;54(5):1358-65. doi: 10.1111/trf.12445. Epub 2013 Oct 10.

PMID:
24117533
8.

Restrictive blood transfusion practices are associated with improved patient outcomes.

Goodnough LT, Maggio P, Hadhazy E, Shieh L, Hernandez-Boussard T, Khari P, Shah N.

Transfusion. 2014 Oct;54(10 Pt 2):2753-9. doi: 10.1111/trf.12723. Epub 2014 Jul 4.

PMID:
24995770
10.

Implementation of a clinical decision support system for computerized drug prescription entries in a large tertiary care hospital.

Zenziper Y, Kurnik D, Markovits N, Ziv A, Shamiss A, Halkin H, Loebstein R.

Isr Med Assoc J. 2014 May;16(5):289-94.

11.

Hb content-based transfusion policy successfully reduces the number of RBC units transfused.

Arslan O, Toprak S, Arat M, Kayalak Y.

Transfusion. 2004 Apr;44(4):485-8.

PMID:
15043562
12.

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.

Yerrabothala S, Desrosiers KP, Szczepiorkowski ZM, Dunbar NM.

Transfusion. 2014 Oct;54(10 Pt 2):2640-5. doi: 10.1111/trf.12627. Epub 2014 Mar 27.

PMID:
24673396
13.

Patient blood transfusion management: discharge hemoglobin level as a surrogate marker for red blood cell utilization appropriateness.

Edwards J, Morrison C, Mohiuddin M, Tchatalbachev V, Patel C, Schwickerath VL, Menitove JE, Singh G.

Transfusion. 2012 Nov;52(11):2445-51. doi: 10.1111/j.1537-2995.2012.03591.x. Epub 2012 Mar 13.

PMID:
22413968
14.

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

McKinney ZJ, Peters JM, Gorlin JB, Perry EH.

Transfusion. 2015 Sep;55(9):2086-94. doi: 10.1111/trf.13103. Epub 2015 Apr 9.

PMID:
25857393
15.

Efficacy of education followed by computerized provider order entry with clinician decision support to reduce red blood cell utilization.

Zuckerberg GS, Scott AV, Wasey JO, Wick EC, Pawlik TM, Ness PM, Patel ND, Resar LM, Frank SM.

Transfusion. 2015 Jul;55(7):1628-36. doi: 10.1111/trf.13003. Epub 2015 Feb 3.

PMID:
25646579
16.

Failure to utilize functions of an electronic prescribing system and the subsequent generation of 'technically preventable' computerized alerts.

Baysari MT, Reckmann MH, Li L, Day RO, Westbrook JI.

J Am Med Inform Assoc. 2012 Nov-Dec;19(6):1003-10. doi: 10.1136/amiajnl-2011-000730. Epub 2012 Jun 26.

17.

Analysis of allergy alerts within a computerized prescriber-order-entry system.

Hunteman L, Ward L, Read D, Jolly M, Heckman M.

Am J Health Syst Pharm. 2009 Feb 15;66(4):373-7. doi: 10.2146/ajhp080328.

PMID:
19202047
18.

Triggers and appropriateness of red blood cell transfusions in the postpartum patient--a retrospective audit.

So-Osman C, Cicilia J, Brand A, Schipperus M, Berning B, Scherjon S.

Vox Sang. 2010 Jan;98(1):65-9. doi: 10.1111/j.1423-0410.2009.01231.x. Epub 2009 Aug 17.

PMID:
19686225
19.

JOURNAL CLUB: Predictors of Provider Response to Clinical Decision Support: Lessons Learned From the Medicare Imaging Demonstration.

Ip IK, Lacson R, Hentel K, Malhotra S, Darer J, Langlotz C, Weiss J, Raja AS, Khorasani R.

AJR Am J Roentgenol. 2017 Feb;208(2):351-357. doi: 10.2214/AJR.16.16373. Epub 2016 Nov 29.

PMID:
27897445
20.

Assessment of education and computerized decision support interventions for improving transfusion practice.

Rothschild JM, McGurk S, Honour M, Lu L, McClendon AA, Srivastava P, Churchill WH, Kaufman RM, Avorn J, Cook EF, Bates DW.

Transfusion. 2007 Feb;47(2):228-39.

PMID:
17302768

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