To identify the key issues around use of computerized patient infusion devices (called "smart pumps"). To develop strategies that will improve the prevention of intravenous errors that will be broadly applicable. The investigators will conduct a national study using the general methodology developed by Husch et al. to allow a rapid assessment of the frequency and types of medication errors at an institution. The key questions the investigators will address are: 1. What are the frequency and types of intravenous medication errors? 2. How much variability is there by frequency and type among settings? 3. After review of the initial data, what strategies appear to have the greatest potential for reducing intravenous medication error frequency? 4. How effective is an intervention including a bundle of these strategies at multiple sites?
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Incident rates of wrong dose
Timeframe: Two years
Incident rates of wrong rate
Timeframe: Two years
Incident rates of wrong concentration
Timeframe: Two years
Incident rates of wrong IV fluids/medications
Timeframe: Two years
Incident rates of delay of medication administration
Timeframe: Two years
Incident rates of omission of IV fluids/medications
Timeframe: Two years
Incident rates of unauthorized medication
Timeframe: Two years
Incident rates of patient identification (ID) error (wrong patient)
Timeframe: Two years
Incident rates of smart pump or drug library not used
Timeframe: Two years
Incident rates of oversight allergy
Timeframe: Two years
Incident rates of pump setting error
Timeframe: Two years
Compliance rate of label not complete according to policy
Timeframe: Two years
Compliance rate of IV tubing not tagged according to policy
Timeframe: Two years
Incident rates of expired drug
Timeframe: Two years
Overall medication errors
Timeframe: Two years
Higher-severity medication errors
Timeframe: Two years