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Updated: May 9, 2026

Improving IV Insulin Administration in a Community Hospital
Published on: June 11, 2012
Development of a web-based observational tool for detecting intravenous medication errors with smart infusion pumps
Kumiko Ohashi1, Patricia Dykes, Kathleen McIntosh
1General Internal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Smart infusion pumps aim to reduce intravenous medication errors, but errors persist. This study developed and tested an observational tool to capture these errors, finding it effective for standardized data collection in hospitals.
Area of Science:
- Medical device safety
- Health informatics
- Patient safety
Background:
- Computerized smart infusion pumps are used to reduce intravenous (IV) medication errors.
- Despite implementation, significant IV errors persist, indicating limitations in current systems.
- Previous studies have shown facility-specific issues, but a lack of standardized error measurement hinders generalizability.
Purpose of the Study:
- To develop and test a standardized observational tool for capturing IV medication errors related to smart infusion pumps.
- To address the need for a consistent methodology in measuring these errors across different healthcare settings.
Main Methods:
- An observational tool was developed using iterative participatory design with interdisciplinary experts.
- The tool was tested using incident cases specifically involving smart infusion pump errors.
- The methodology focused on capturing errors through direct observation and incident analysis.
Main Results:
- The developed observational tool successfully captured all identified smart infusion pump errors during testing.
- The tool demonstrated readiness for use as a standard data collection instrument.
- The participatory design ensured the tool's relevance and applicability.
Conclusions:
- A novel observational tool has been developed and validated for capturing IV medication errors associated with smart infusion pumps.
- This tool offers a standardized approach to data collection, crucial for improving the generalizability of findings.
- The tool is prepared for broader testing in diverse hospital environments to enhance medication safety.
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