Publications by authors named "Karen J Arthur"

In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.

View Article and Find Full Text PDF

Background: Drug-drug interactions (DDIs) are common and can result in patient harm. Electronic health records warn clinicians about DDIs via alerts, but the clinical decision support they provide is inadequate. Little is known about clinicians' real-world DDI decision-making process to inform more effective alerts.

View Article and Find Full Text PDF

Objective: To develop a descriptive model of the cognitive processes used to identify and resolve adverse drug reactions (ADRs) from the perspective of healthcare providers in order to inform future informatics efforts SETTING: Inpatient and outpatient care at a tertiary care US Veterans Affairs Medical Center.

Participants: Physicians, nurse practitioners and pharmacists who report ADRs.

Outcomes: Descriptive model and emerging themes from interviews.

View Article and Find Full Text PDF

Background: Medication errors are prevalent in healthcare institutions worldwide, often arising from difficulties in care coordination among primary care providers, specialists, and pharmacists. Greater knowledge about care coordination surrounding medication safety incidents can inform efforts to improve patient safety.

Objectives: To identify strategies that hospital and outpatient healthcare professionals (HCPs) use, and barriers encountered, when they coordinate care during a medication safety incident involving an adverse drug reaction, drug-drug interaction, or drug-renal concern.

View Article and Find Full Text PDF

Background: Many studies identify factors that contribute to renal prescribing errors, but few examine how healthcare professionals (HCPs) detect and recover from an error or potential patient safety concern. Knowledge of this information could inform advanced error detection systems and decision support tools that help prevent prescribing errors.

Objective: To examine the cognitive strategies that HCPs used to recognise and manage medication-related problems for patients with renal insufficiency.

View Article and Find Full Text PDF

The purpose of this study was to utilize lean process improvement principles to enhance the health-system pharmacy administration learning experience within a postgraduate year 1 (PGY1) residency program. The Richard L. Roudebush VA Medical Center adopted the use of lean to improve customer service and workplace efficiency.

View Article and Find Full Text PDF

Objectives: Cognitive task analysis (CTA) can yield valuable insights into healthcare professionals' cognition and inform system design to promote safe, quality care. Our objective was to adapt CTA-the critical decision method, specifically-to investigate patient safety incidents, overcome barriers to implementing this method, and facilitate more widespread use of cognitive task analysis in healthcare.

Methods: We adapted CTA to facilitate recruitment of healthcare professionals and developed a data collection tool to capture incidents as they occurred.

View Article and Find Full Text PDF

Smart infusion pump technology is a mainstay in health care, and the integration and use of those pumps is crucial for patient safety. An institution purchasing smart infusion pumps has the ability to trial the various vendors before purchase, however literature that documents a conversion from one pump to another is lacking. This article describes the conversion from one smart infusion pump platform to another at a government institution and a large multisite facility.

View Article and Find Full Text PDF

Purpose: A Web-based analytics system for conducting inhouse evaluations and cross-facility comparisons of alert data generated by smart infusion pumps is described.

Summary: The Infusion Pump Informatics (IPI) project, a collaborative effort led by research scientists at Purdue University, was launched in 2009 to provide advanced analytics and tools for workflow analyses to assist hospitals in determining the significance of smart-pump alerts and reducing nuisance alerts. The IPI system allows facility-specific analyses of alert patterns and trends, as well as cross-facility comparisons of alert data uploaded by more than 55 participating institutions using different types of smart pumps.

View Article and Find Full Text PDF