Literature DB >> 23627673

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

Mark H Yazer1, Darrell J Triulzi, Vivek Reddy, Jonathan H Waters.   

Abstract

BACKGROUND: We investigated the effect of implementing adaptive plasma ordering criteria in the computerized physician order entry (CPOE) system, with alerts that were automatically generated if the recipient's antecedent international normalized ratio (INR) did not meet the institutional criteria. STUDY DESIGN AND METHODS: In a regional health care system consisting of 11 hospitals using a common CPOE, data on the number of plasma orders and alerts that were generated were collected over a 4-month period before prescribers were required to select an indication for plasma. When adaptive ordering was implemented prescribers had to choose from prepopulated indications for plasma: INR of 1.6 or greater with bleeding, INR of 1.6 or greater before an invasive procedure, therapeutic exchange, massive transfusion, and other. Regardless of the antecedent INR the alert did not trigger if massive transfusion or plasmapheresis was selected. Information on prescribers and recipients was collected during this 5-month period.
RESULTS: In the 4-month period before the adaptive alerts were implemented, 42.9% of the plasma orders generated an alert; in the 5-month period thereafter the alert rate was significantly lower at 27.9% (p < 0.0001). The percentage of heeded alerts increased during the adaptive alert period (24.3% vs. 17.1%, respectively, p = 0.004). A significant percentage (45%) of other plasma orders were for periprocedure or bleeding patients whose antecedent INR was less than 1.6. There were significant differences in prescriber specialties among those who ordered plasma using the other indication compared to all plasma orders.
CONCLUSION: Electronic interventions improve compliance with plasma guidelines but as implemented are not sufficient to completely curtail non-evidence-based ordering.
© 2013 American Association of Blood Banks.

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Year:  2013        PMID: 23627673     DOI: 10.1111/trf.12228

Source DB:  PubMed          Journal:  Transfusion        ISSN: 0041-1132            Impact factor:   3.157


  6 in total

Review 1.  Personalization and Patient Involvement in Decision Support Systems: Current Trends.

Authors:  S Quaglini; L Sacchi; G Lanzola; N Viani
Journal:  Yearb Med Inform       Date:  2015-08-13

2.  Cytokines and clinical predictors in distinguishing pulmonary transfusion reactions.

Authors:  Nareg H Roubinian; Mark R Looney; Daryl J Kor; Clifford A Lowell; Ognjen Gajic; Rolf D Hubmayr; Michael A Gropper; Monique Koenigsberg; Gregory A Wilson; Michael A Matthay; Pearl Toy; Edward L Murphy
Journal:  Transfusion       Date:  2015-02-23       Impact factor: 3.157

3.  Use of fresh-frozen plasma in 2012 at the Fondazione Ca' Granda Hospital of Milan: assessment of appropriateness using record linkage techniques applied to data routinely recorded in various hospital information systems.

Authors:  Monica Lanzoni; Barbara Olivero; Andrea Artoni; Maurizio Marconi; Elisabetta Raspollini; Silvana Castaldi
Journal:  Blood Transfus       Date:  2017-06-19       Impact factor: 3.443

4.  Utility of alert-based CDSS in CPOE to improve compliance with plasma transfusion guidelines.

Authors:  Richard C Friedberg
Journal:  J Pathol Inform       Date:  2014-02-25

5.  Can automated alerts within computerized physician order entry improve compliance with laboratory practice guidelines for ordering Pap tests?

Authors:  Lydia Pleotis Howell; Scott MacDonald; Jacqueline Jones; Daniel J Tancredi; Joy Melnikow
Journal:  J Pathol Inform       Date:  2014-09-30

6.  Plasma Transfusion Practice in Adult Surgical Patients: Systematic Review of the Literature.

Authors:  Elisabeth Hannah Adam; Dania Fischer
Journal:  Transfus Med Hemother       Date:  2020-09-18       Impact factor: 3.747

  6 in total

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