Narrow Results Clear All
- Communication Improvement 2
- Culture of Safety 2
- Education and Training 3
- Error Reporting and Analysis 3
- Human Factors Engineering 2
- Legal and Policy Approaches 1
- Logistical Approaches
- Quality Improvement Strategies 1
- Research Directions 1
- Specialization of Care 1
- Technologic Approaches
Search results for ""
Journal Article > Study
Computerized physician order entry, a factor in medication errors: descriptive analysis of events in the intensive care unit safety reporting system.
Thompson DA, Duling L, Holzmueller CG, et al. J Clin Outcomes Manage. 2005;12:407-412.
In this AHRQ-funded study, the authors analyze a computerized provider order entry (CPOE) system implemented in 18 intensive care units. They determined that although CPOE may prompt a new set of errors when first introduced, hospital leaders should ensure support for training and response to user suggestions to realize CPOE's safety benefits.
Plymouth Meeting, PA: ECRI Institute; 2007. ISBN 0977914259.
This guide provides comprehensive tools for assessment, training, and implementation of safety efforts in the intensive care unit.
ISMP Medication Safety Alert! Acute Care Edition. September 11, 2008;13:1-3.
This article discusses a medication error associated with a new smart pump system and describes strategies to prevent errors when well-established processes are changed.
Journal Article > Commentary
Raju TN, Suresh G, Higgins RD. Pediatr Res. 2011;70:109-115.
This article provides practice and research recommendations to address patient safety issues in neonatal intensive care.
ISMP Medication Safety Alert! Acute Care Edition. April 21, 2011;16:1-3.
This article analyzes a fatal error involving parenteral nutrition and makes recommendations to prevent such incidents.
Ross C. STAT. May 13, 2019.
Nuisance alarms, interruptions, and insufficient staff availability can hinder effective monitoring and response to acute patient deterioration. This news article reports on how hospital logistics centers are working toward utilizing artificial intelligence to improve clinician response to alarms by proactively identifying hospitalized patients at the highest risk for heart failure to trigger emergency response teams when their condition rapidly declines.