Background: In 2012, the Health Resources and Services Administration and the United Network for Organ Sharing launched the "Electronic Tracking and Transportation" (ETT) project, in response to "labeling and packaging issues" being a frequently reported safety incident. This article describes an improvement project conducted as part of this United Network for Organ Sharing project.
Methods: An interdisciplinary team conducted a Process Failure Modes and Effects Analysis, laboratory simulations of organ labeling during procurement, and a heuristic evaluation of a label software application to inform the design of TransNet, a system that uses barcode technology at the point of organ recovery.
Objective: To assess health-care teams' verbal communication, an observable teamwork behavior, during simulations involving pediatric emergency airway management and intubation.
Methods: We conducted video-recorded, risk-informed in situ simulations at 5 hospitals with pediatric intensive care units in the Chicago, Illinois, area. Clinicians participated in their clinical roles (eg, attending physician, bedside nurse) and had access to hospital operational systems (eg, electronic health record, medical imaging, laboratory services).
Circ Cardiovasc Qual Outcomes
October 2015
Background: Although best practices have been developed for achieving door-to-needle (DTN) times ≤60 minutes for stroke thrombolysis, critical DTN process failures persist. We sought to compare these failures in the Emergency Department at an academic medical center and a community hospital.
Methods And Results: Failure modes effects and criticality analysis was used to identify system and process failures.
Background: Failure mode and effects analysis (FMEA) is a method of risk assessment increasingly used in healthcare over the past decade. The traditional method, however, can require substantial time and training resources. The goal of this study is to compare a simplified scoring method with the traditional scoring method to determine the degree of congruence in identifying high-risk failures.
View Article and Find Full Text PDFIntroduction: Simulation-based methodologies are increasingly used to assess teamwork and communication skills and provide team training. Formative feedback regarding team performance is an essential component. While effective use of simulation for assessment or training requires accurate rating of team performance, examples of rater-training programs in health care are scarce.
View Article and Find Full Text PDFBackground: Sepsis is an increasing problem in the practice of emergency medicine as the prevalence is increasing and optimal care to reduce mortality requires significant resources and time. Evidence-based septic shock resuscitation strategies exist, and rely on appropriate recognition and diagnosis, but variation in adherence to the recommendations and therefore outcomes remains. Our objective was to perform a multi-institutional prospective risk-assessment, using failure mode effects and criticality analysis (FMECA), to identify high-risk failures in ED sepsis resuscitation.
View Article and Find Full Text PDFBackground: Research into efforts to engage patients in the assessment of health-care teams is limited.
Objective: To explore, through qualitative methods, patient awareness of teamwork-related behaviours observed during an emergency department (ED) visit.
Design: Researchers used semi-structured question guides for audio-recorded interviews and analysed their verbatim transcripts.
Study Objective: The Centers for Medicare & Medicaid Services currently endorses a door-to-balloon time of 90 minutes or less for patients presenting to the emergency department (ED) with ST-segment elevation myocardial infarction. Recent evidence shows that a door-to-balloon time of 60 minutes significantly decreases inhospital mortality. We seek to use a proactive risk assessment method of failure mode, effects, and criticality analysis (FMECA) to evaluate door-to-balloon time process, to investigate how each component failure may affect the performance of a system, and to evaluate the frequency and the potential severity of harm of each failure.
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