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Reporting medication errors through computerized medication administration
1One Touch Technologies, Aliso Viejo, CA, USA.
Computers, Informatics, Nursing : CIN
|September 28, 2002
Summary
Implementation of a bar code medication administration system increased reported medication errors by 18%. This highlights the need for accurate baseline data when evaluating new health technology and improving medication safety reporting.
Area of Science:
- Healthcare quality improvement
- Patient safety research
- Health informatics
Background:
- Medication errors are a significant concern, with underreporting being a major issue, especially at the administration stage.
- Nurses historically report only a small fraction of significant medication errors.
- Limited research exists on medication error rates specifically during administration and the impact of reporting systems.
Purpose of the Study:
- To compare the medication error rate per 1,000 doses administered before and after implementing a bar code medication administration system.
- To assess the impact of a new technology on medication error reporting accuracy.
- To identify challenges in evaluating medication error reduction strategies.
Main Methods:
- A comparative study design was employed on two medical-surgical units.
- Data on medication errors were collected for 12 months prior to and 12 months after system implementation.
- The study focused on medication errors occurring during the administration phase.
Main Results:
- The medication error rate per 1,000 doses increased by 18% after the bar code system implementation.
- This increase is likely due to improved reporting accuracy rather than an actual rise in errors.
- The computerization of medication administration enhanced the error reporting system.
Conclusions:
- New technology implementation requires accurate baseline data for effective evaluation.
- Computerized systems significantly improve the accuracy of medication error reporting compared to staff reporting.
- Enhanced reporting accuracy is crucial for developing and refining technologies to reduce medication errors.