Literature DB >> 18436910

Identifying and quantifying medication errors: evaluation of rapidly discontinued medication orders submitted to a computerized physician order entry system.

Ross Koppel1, Charles E Leonard, A Russell Localio, Abigail Cohen, Ruthann Auten, Brian L Strom.   

Abstract

All methods of identifying medication prescribing errors are fraught with inaccuracies and systematic bias. A systematic, efficient, and inexpensive way of measuring and quantifying prescribing errors would be a useful step for reducing them. We ask if rapid discontinuations of prescription-orders--where physicians stop their orders within 2 hours--would be an expedient proxy for prescribing errors? To study this we analyzed CPOE-system medication orders entered and then discontinued within 2 hours. We investigated these phenomena in real time via interviews with corresponding ordering physicians. Each order was also independently reviewed by a clinical pharmacist or physicians. We found that of 114 rapidly discontinued orders by 75 physicians, two-thirds (35 of 53, PPV = 66; 95% CI = 53-77) of medication orders discontinued within 45 minutes were deemed inappropriate (overdose, underdose, etc.). Overall, 55% (63 of 114; 95% CI = 46-64%) of medication orders discontinued within 2 hours were deemed inappropriate. This measure offers a rapid, constant, inexpensive, and objective method to identify medication orders with a high probability of error. It may also serve as a screening and teaching mechanism for physicians-in-training.

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Year:  2008        PMID: 18436910      PMCID: PMC2442267          DOI: 10.1197/jamia.M2549

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  27 in total

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Review 4.  Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review.

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7.  Adverse drug event trigger tool: a practical methodology for measuring medication related harm.

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8.  The epidemiology of prescribing errors: the potential impact of computerized prescriber order entry.

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  17 in total

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Review 3.  Does computerized provider order entry reduce prescribing errors for hospital inpatients? A systematic review.

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7.  Using EHR Data to Detect Prescribing Errors in Rapidly Discontinued Medication Orders.

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9.  Detection and Remediation of Misidentification Errors in Radiology Examination Ordering.

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Review 10.  The technology acceptance model: its past and its future in health care.

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