Ontology highlight
ABSTRACT: Background
Computerized order entry systems have the potential to prevent medication errors and decrease adverse drug events with the use of clinical-decision support systems presenting alerts to providers. Despite the large volume of medications prescribed in the outpatient setting, few studies have assessed the impact of automated alerts on medication errors related to drug-laboratory interactions in an outpatient primary-care setting.Methods and findings
A primary-care clinic in an integrated safety net institution was the setting for the study. In collaboration with commercial information technology vendors, rules were developed to address a set of drug-laboratory interactions. All patients seen in the clinic during the study period were eligible for the intervention. A
SUBMITTER: Steele AW
PROVIDER: S-EPMC1198038 | biostudies-literature | 2005 Sep
REPOSITORIES: biostudies-literature