Calculating Med Error Rate
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How To Calculate Error Rate From Confusion Matrix
Med Cent)v.17(3); 2004 JulPMC1200672 Proc (Bayl Univ Med Cent). 2004 Jul; how to calculate error rate percentage 17(3): 357–361. PMCID: PMC1200672A baseline study of medication error rates at Baylor University Medical Center in preparation
Bit Error Rate Calculation In Matlab
for implementation of a computerized physician order entry systemChristina E. Seeley, MPH, MT(ASCP),1 David Nicewander, MS,2 Robert Page, MPA,1 and Peter A. Dysert, II, MD1,31From the Baylor Information http://www.medscape.com/viewarticle/429909_2 Services, Baylor Health Care System, Dallas, Texas.2From the Institute for Health Care Research and Improvement, Baylor Health Care System, Dallas, Texas.3From the Department of Pathology, Baylor University Medical Center, Baylor Health Care System, Dallas, Texas.Corresponding author.Corresponding author: Christina E. Seeley, MPH, MT(ASCP), Baylor Information Services, Baylor Health Care System, 3500 Gaston Avenue, Dallas, Texas 75246 (email: ude.htlaeHrolyaB@estsirhc).Author http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1200672/ information ► Copyright and License information ►Copyright © 2004, Baylor University Medical CenterSee commentary "Invited commentary" on page 361.This article has been cited by other articles in PMC.AbstractObjective: To determine baseline levels of medication errors and their root causes so as to highlight areas of potential process improvements and serve as a ruler against which to measure future improvements.Design: A prospective pharmacist intervention study determining errors in 1014 medication orders at Baylor University Medical Center. Only errors in the process of medication ordering were documented; errors in drug administration were not considered. Root causes of errors were examined.Results: The baseline medication error rate was 111.4 per 1000 orders (n = 1014). Most common were dosing errors (43.4 per 1000 orders), followed by frequency errors (19.7 per 1000 orders) and unavailable drug errors (12.8 per 1000 orders). Of the 113 total errors found, 52 (46%) had a transcription-based cause, i.e., an error in inputting the handwritten physician order into a computer system. System- or process-related root causes (such as duplicate
is the definition of a medication error? What are the “ten key elements” of the medication-use system? Won’t medication errors be prevented if nurses just follow the “Five Rights?” What are "high-alert" http://www.ismp.org/faq.asp medications? What abbreviations are dangerous? Are these evidence based? What drug names are frequently confused? How should tall man lettering be applied to differentiate look-alike/sound-alike drug names? What is confirmation bias? How do I do an independent double check? How can I measure culture? Should a healthcare practitioner be disciplined for being involved in an error? How can I assess risk? What is the difference error rate between high-leverage and low-leverage safety strategies? What is an FMEA, and how can I use it? How do I join ISMP? What ISMP resources are available for consumers? Why are standard concentrations safer than using the Rule of 6 for pediatric drips? What tools does ISMP have to satisfy regulatory or insurance network inclusion requirements for community pharmacies to demonstrate participation and knowledge in medication how to calculate safe practices? Is there a way to get involved with ISMP as a student? Does ISMP have a nationally registered student-organization? 1. What is the national medication error rate? What standards are available for benchmarking? A national or other regional medication error rate does not exist. It is not possible to establish a national medication error rate or set a benchmark for medication error rates. Each hospital or organization is different. The rates that are tracked are a measure of the number of reports at a given institution not the actual number of events or the quality of the care given. Most systems for measuring medication errors rely on voluntary reporting of errors and near-miss events. Studies have shown that even in good systems, voluntary reporting only captures the "tip of the iceberg." For this reason, counting reported errors yields limited information about how safe a medication-use process actually is. It is very possible that an institution with a good reporting system, and thus what appears to be a high error "rate," may have a safer system. For more detailed information see Medication Errors, a book available on our website, and the following arti