Effectiveness of a real-time clinical decision support system for computerized physician order entry of plasma orders. 2013

Mark H Yazer, and Darrell J Triulzi, and Vivek Reddy, and Jonathan H Waters
Department of Pathology, University of Pittsburgh.

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. 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. CONCLUSIONS Electronic interventions improve compliance with plasma guidelines but as implemented are not sufficient to completely curtail non-evidence-based ordering.

UI MeSH Term Description Entries
D010949 Plasma The residual portion of BLOOD that is left after removal of BLOOD CELLS by CENTRIFUGATION without prior BLOOD COAGULATION. Blood Plasma,Fresh Frozen Plasma,Blood Plasmas,Fresh Frozen Plasmas,Frozen Plasma, Fresh,Frozen Plasmas, Fresh,Plasma, Blood,Plasma, Fresh Frozen,Plasmas,Plasmas, Blood,Plasmas, Fresh Frozen
D001803 Blood Transfusion The introduction of whole blood or blood component directly into the blood stream. (Dorland, 27th ed) Blood Transfusions,Transfusion, Blood,Transfusions, Blood
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D050316 Medical Order Entry Systems Information systems, usually computer-assisted, that enable providers to initiate medical procedures, prescribe medications, etc. These systems support medical decision-making and error-reduction during patient care. CPOE,Order Entry Systems, Medical,Alert Systems, Medication,Computerized Physician Order Entry,Computerized Physician Order Entry System,Computerized Provider Order Entry,Computerized Provider Order Entry System,Medication Alert Systems,Alert System, Medication,Medication Alert System,System, Medication Alert
D020000 Decision Support Systems, Clinical Computer-based information systems used to integrate clinical and patient information and provide support for decision-making in patient care. Clinical Decision Support System,Clinical Decision Support Systems,Clinical Decision Support,Decision Support, Clinical,Clinical Decision Supports,Decision Supports, Clinical,Support, Clinical Decision,Supports, Clinical Decision

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