Impact of computerized provider order entry on medication errors in outpatient chemotherapy administration.

2012 ◽  
Vol 30 (34_suppl) ◽  
pp. 295-295
Author(s):  
Lyudmila Bazhenova ◽  
Patricia A. DeMoor
Keyword(s):  
Medication Errors ◽  
Standard Operating Procedure ◽  
University Of California ◽  
Order Entry ◽  
Human Errors ◽  
Computerized Provider Order Entry ◽  
Outpatient Chemotherapy ◽  
Chemotherapy Administration ◽  
Standard Operating ◽  
Wrong Dose

295 Background: Computerized provider order entry (CPOE) reduces medication errors (ME) in ambulatory and hospital settings. We conducted a study to assess the effect of CPOE on ME in an outpatient NCI designated infusion center (IC). Methods: Both actual and prevented ME were prospectively reported by clinical staff as part of IC Standard Operating Procedure using the electronic Quality Variance Reporting (eQVR, Incident Reporting 2.0, University of California) system. Reported ME from 10/2007 to 03/2011 were reviewed by 2 investigators and classified into categories by consensus: wrong medication given (WM), medication missed (MM), wrong timing/rate (T/R), wrong dose (WD), unmet chemotherapy parameters (UP) and other (O). Classifications were further categorized by preventable or facilitated by CPOE. We compared ME 18 mo. pre and post implementation. The 6 month go live period was reviewed separately to examine ME related to a learning curve (LC). Results: 40,366 patients were seen pre-implementation, 47,460 post, and 14,343 during go live. The total ME per pt was similar pre and post (see table). There were dramatic rate differences in WM and MM, but no effect on T/R, WD, UP. In the pre period 66% of ME were felt preventable by CPOE. In turn 35% of ME were facilitated by CPOE. Preventability rates differed between categories. During go live 100% of CPOE facilitated ME were related to user and designer LC. Post implementation 58% of CPOE facilitated ME were still accounted by LC with the rest felt related to the complexity of CPOE. Conclusions: ME are rare in our outpatient IC. CPOE did not change the total number of ME but significantly decreased the rate of WM. Complexities of CPOE resulted in increased MM. LC related errors still occur 24 mo. after implementation of CPOE and require constant monitoring and education. CPOE increased the rate of serious ME felt due to the change in workflow and adding an extra layer of complexity. Human errors cannot be fixed with CPOE and generally encompassed the ME in T/R, WD, and UP classifications [Table: see text]

Impact of computerized provider order entry on medication errors in chemotherapy administration.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e16535-e16535
Author(s):  
Patricia A DeMoor ◽  
Lyudmila Bazhenova
Keyword(s):  
Learning Curve ◽  
Medication Errors ◽  
Standard Operating Procedure ◽  
University Of California ◽  
Order Entry ◽  
Human Errors ◽  
Computerized Provider Order Entry ◽  
Chemotherapy Administration ◽  
Standard Operating ◽  
Wrong Dose

e16535 Background: Computerized provider order entry (CPOE) reduces medication errors (ME) in ambulatory prescriber and hospital settings. We conducted a study to assess the effect of CPOE on ME in an outpatient NCI designated academic infusion center (IC). Methods: Both actual and prevented ME were reported by clinical staff as part of IC Standard Operating Procedure using the electronic Quality Variance Reporting (eQVR, Incident Reporting 2.0, University of California) system. Reported ME from 10/2007 to 03/2011 were reviewed by 2 investigators and classified into categories by consensus: wrong medication given (WM), medication missed (MM), wrong timing/rate (T/R), wrong dose (WD), unmet chemotherapy parameters (UP) and other (O). Classifications were further categorized by preventable or facilitated by CPOE. We compared ME 18 mo. pre and post implementation. The 6 month go live period was reviewed separately to examine ME related to a learning curve (LC). Results: 40,366 patients were seen pre-implementation, 47,460 post, and 14,343 during go live. The total ME per pt was similar pre and post (see table). There were dramatic rate differences in WM and MM, but no effect on T/R, WD, UP. In the pre period 66% of ME were felt preventable by CPOE. In turn 35% of ME were facilitated by CPOE. Preventability rates differed between categories. During go live 100% of CPOE facilitated ME were related to user and designer LC. Post implementation 58% of CPOE facilitated ME were still accounted by LC with the rest felt related to the complexity of CPOE. Conclusions: ME are rare in our outpatient oncology IC. CPOE did not change the total number of ME but significantly decreased the rate of WM. Complexities of CPOE resulted in increased MM. LC related errors still occur 24 mo. after implementation of CPOE and require constant monitoring and education. CPOE increased the rate of serious ME felt due to the change in workflow and adding an extra layer of complexity. Human errors cannot be fixed with CPOE and generally encompassed the ME in T/R, WD, and UP classifications. [Table: see text]

scholarly journals The impact of computerized provider order entry on medication errors in a multispecialty group practice

2010 ◽  
Vol 17 (1) ◽  
pp. 78-84 ◽  
Author(s):  
Emily Beth Devine ◽  
Ryan N Hansen ◽  
Jennifer L Wilson-Norton ◽  
N M Lawless ◽  
Albert W Fisk ◽  
...  
Keyword(s):  
Medication Errors ◽  
Group Practice ◽  
Order Entry ◽  
Computerized Provider Order Entry ◽  
Multispecialty Group ◽  
The Impact

scholarly journals Reduction in medication errors in hospitals due to adoption of computerized provider order entry systems

2013 ◽  
Vol 20 (3) ◽  
pp. 470-476 ◽  
Author(s):  
D. C. Radley ◽  
M. R. Wasserman ◽  
L. E. Olsho ◽  
S. J. Shoemaker ◽  
M. D. Spranca ◽  
...  
Keyword(s):  
Medication Errors ◽  
Order Entry ◽  
Computerized Provider Order Entry ◽  
Order Entry Systems

scholarly journals Impact of commercial computerized provider order entry (CPOE) and clinical decision support systems (CDSSs) on medication errors, length of stay, and mortality in intensive care units: a systematic review and meta-analysis

2016 ◽  
Vol 24 (2) ◽  
pp. 413-422 ◽  
Author(s):  
Mirela Prgomet ◽  
Ling Li ◽  
Zahra Niazkhani ◽  
Andrew Georgiou ◽  
Johanna I Westbrook
Keyword(s):  
Systematic Review ◽  
Intensive Care ◽  
Medication Errors ◽  
Meta Analysis ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Order Entry ◽  
Icu Mortality ◽  
Computerized Provider Order Entry ◽  
The Impact

Objective: To conduct a systematic review and meta-analysis of the impact of commercial computerized provider order entry (CPOE) and clinical decision support systems (CDSSs) on medication errors, length of stay (LOS), and mortality in intensive care units (ICUs). Methods: We searched for English-language literature published between January 2000 and January 2016 using Medline, Embase, and CINAHL. Titles and abstracts of 586 unique citations were screened. Studies were included if they: (1) reported results for an ICU population; (2) evaluated the impact of CPOE or the addition of CDSSs to an existing CPOE system; (3) reported quantitative data on medication errors, ICU LOS, hospital LOS, ICU mortality, and/or hospital mortality; and (4) used a randomized controlled trial or quasi-experimental study design. Results: Twenty studies met our inclusion criteria. The transition from paper-based ordering to commercial CPOE systems in ICUs was associated with an 85% reduction in medication prescribing error rates and a 12% reduction in ICU mortality rates. Overall meta-analyses of LOS and hospital mortality did not demonstrate a significant change. Discussion and Conclusion: Critical care settings, both adult and pediatric, involve unique complexities, making them vulnerable to medication errors and adverse patient outcomes. The currently limited evidence base requires research that has sufficient statistical power to identify the true effect of CPOE implementation. There is also a critical need to understand the nature of errors arising post-CPOE and how the addition of CDSSs can be used to provide greater benefit to delivering safe and effective patient care.

scholarly journals Computerized provider order entry–related medication errors among hospitalized patients: An integrative review

2020 ◽  
Vol 26 (4) ◽  
pp. 2834-2859
Author(s):  
Manal Elshayib ◽  
Lawrence Pawola
Keyword(s):  
Medication Errors ◽  
Unintended Consequences ◽  
Current Evidence ◽  
Institute Of Medicine ◽  
Inclusion Criteria ◽  
Order Entry ◽  
Computerized Provider Order Entry ◽  
Factors Associated ◽  
Healthcare Settings ◽  
Technical Factors

The Institute of Medicine estimates that 7,000 lives are lost yearly as a result of medication errors. Computerized physician and/or provider order entry was one of the proposed solutions to overcome this tragic issue. Despite some promising data about its effectiveness, it has been found that computerized provider order entry may facilitate medication errors. The purpose of this review is to summarize current evidence of computerized provider order entry -related medication errors and address the sociotechnical factors impacting the safe use of computerized provider order entry. By using PubMed and Google Scholar databases, a systematic search was conducted for articles published in English between 2007 and 2019 regarding the unintended consequences of computerized provider order entry and its related medication errors. A total of 288 articles were screened and categorized based on their use within the review. One hundred six articles met our pre-defined inclusion criteria and were read in full, in addition to another 27 articles obtained from references. All included articles were classified into the following categories: rates and statistics on computerized provider order entry -related medication errors, types of computerized provider order entry -related unintended consequences, factors contributing to computerized provider order entry failure, and recommendations based on addressing sociotechnical factors. Identifying major types of computerized provider order entry -related unintended consequences and addressing their causes can help in developing appropriate strategies for safe and effective computerized provider order entry. The interplay between social and technical factors can largely affect its safe implementation and use. This review discusses several factors associated with the unintended consequences of this technology in healthcare settings and presents recommendations for enhancing its effectiveness and safety within the context of sociotechnical factors.

scholarly journals Electronic prescription: frequency and severity of medication errors

2019 ◽  
Vol 65 (11) ◽  
pp. 1349-1355
Author(s):  
Mário Borges Rosa ◽  
Mariana Martins Gonzaga do Nascimento ◽  
Priscilla Benfica Cirilio ◽  
Rosângela de Almeida Santos ◽  
Lucas Flores Batista ◽  
...  
Keyword(s):  
Potassium Chloride ◽  
Medication Errors ◽  
High Complexity ◽  
Order Entry ◽  
Electronic Prescription ◽  
Computerized Provider Order Entry ◽  
Error Frequency ◽  
Before And After ◽  
Belo Horizonte ◽  
Stage 1

SUMMARY OBJECTIVE: To assess the frequency and severity of prescriptions errors with potentially dangerous drugs (heparin and potassium chloride for injection concentrate) before and after the introduction of a computerized provider order entry (CPOE) system. METHODS: This is a retrospective study that compared errors in manual/pre-typed prescriptions in 2007 (Stage 1) with CPOE prescriptions in 2014 (Stage 2) (Total = 1,028 prescriptions), in two high-complexity hospitals of Belo Horizonte, Brasil. RESULTS: An increase of 25% in the frequency of errors in Hospital 1 was observed after the intervention (p<0.001). In contrast, a decreased error frequency of 85% was observed in Hospital 2 (p<0.001). Regarding potassium chloride, the error rate remained unchanged in Hospital 1 (p>0.05). In Hospital 2, a significant decrease was recorded in Stage 2 (p<0.001). A reduced error severity with heparin (p<0.001) was noted, while potassium chloride-related prescription severity remain unchanged (p> 0.05). CONCLUSIONS: The frequency and severity of medication errors after the introduction of CPOE was affected differently in the two hospitals, which shows a need for thorough observation when the prescription system is modified. Control of new potential errors introduced and their causes for the adoption of measures to prevent these events must be in place during and after the implementation of this technology.

scholarly journals Decision Support Alerts for Medication Ordering in a Computerized Provider Order Entry (CPOE) System

2010 ◽  
Vol 01 (03) ◽  
pp. 346-362 ◽  
Author(s):  
R. Villanueva ◽  
K. M. Knudson ◽  
E. M. Harvey ◽  
J. M. Langle ◽  
W. Paul ◽  
...  
Keyword(s):  
Drug Interaction ◽  
Decision Support ◽  
Medication Errors ◽  
Dose Range ◽  
Order Entry ◽  
Computerized Provider Order Entry ◽  
Support Tools ◽  
Measurement Results ◽  
Error Reporting System ◽  
Provider Role

Summary Objective: We sought to determine the frequency and type of decision support alerts by location and ordering provider role during Computerized Provider Order Entry (CPOE) medication ordering. Using these data we adjusted the decision support tools to reduce the number of alerts. Design: Retrospective analyses were performed of dose range checks (DRC), drug-drug interaction and drug-allergy alerts from our electronic medical record. During seven sampling periods (each two weeks long) between April 2006 and October 2008 all alerts in these categories were analyzed. Another audit was performed of all DRC alerts by ordering provider role from November 2008 through January 2009. Medication ordering error counts were obtained from a voluntary error reporting system. Measurement/Results: Between April 2006 and October 2008 the percent of medication orders that triggered a dose range alert decreased from 23.9% to 7.4%. The relative risk (RR) for getting an alert was higher at the start of the interventions versus later (RR= 2.40, 95% CI 2.28-2.52; p< 0.0001). The percentage of medication orders that triggered alerts for drug-drug interactions also decreased from 13.5% to 4.8%. The RR for getting a drug interaction alert at the start was 1.63, 95% CI 1.60-1.66; p< 0.0001. Alerts decreased in all clinical areas without an increase in reported medication errors. Conclusion: We reduced the quantity of decision support alerts in CPOE using a systematic approach without an increase in reported medication errors

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