AI Article Synopsis

  • The study aimed to evaluate the impact of smart pump interoperability on the frequency, type, and severity of errors in intravenous medication administration in a healthcare setting.
  • Data was collected through observations of medication administration before and after implementing the smart pump system, showing a significant overall reduction in errors.
  • The findings revealed a 16% decrease in medication administration errors, with notable reductions in expired and high-risk medication errors, though some error types still occurred, indicating a need for further research on optimizing technology use in this process.

Article Abstract

Objective: The objective of this study was to assess the frequency, type, and severity of errors associated with intravenous medication administration before and after smart pump interoperability.

Methods: We conducted an observational study at a community healthcare system before and after implementing smart pump interoperability. Point prevalence methodology was used to collect data on medication administration and errors in adult inpatient settings.

Results: Observations were completed for 350 infusions preintervention (178 patients) and 367 postintervention (200 patients). Total errors significantly decreased from 401 (114.6 per 100 infusions) to 354 (96.5 per 100 infusions, P = 0.02). Administration errors decreased from 144 (41.1 per 100 infusions) to 119 (32.4 per 100 infusions, P = 0.12). Expired medication errors significantly reduced from 11 (3.1 per 100 infusions) to 2 (0.5 per 100 infusions, P = 0.02). Errors involving high-risk medications significantly reduced from 45 (12.8 per 100 infusions) to 25 (6.8 per 100 infusions, P = 0.01). Errors involving continuous medications significantly reduced from 44 (12.6 per 100 infusions) to 22 (6.0 per 100 infusions, P = 0.005). When comparing programming type, manual programming resulted in 115 (77.2%) of administration and user documentation errors compared with 34 errors (22.8%) that occurred when autoprogramming was used. Of these, errors involving high-risk medications reduced from 21 (84.0%) to 4 (16.0%) after using autoprogramming.

Conclusions: Smart pump interoperability resulted in a 16% reduction in medication administration errors. Despite using dose error reduction software and autoprogramming, some types of errors persisted. Further studies are needed to understand how technology use can be optimized.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359779PMC
http://dx.doi.org/10.1097/PTS.0000000000000905DOI Listing

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