Marian Obuseh
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View article: Development of simulation scenarios for surgeons’ non-technical skills evaluation
Development of simulation scenarios for surgeons’ non-technical skills evaluation Open
View article: Feasibility of large language models for assessing and coaching surgeons’ non-technical skills
Feasibility of large language models for assessing and coaching surgeons’ non-technical skills Open
This study demonstrates Large Language models (LLMs) to assess and coach surgeons on their non-technical skills, traditionally evaluated through subjective and resource-intensive methods. Llama 3.1 and Mistral effectively analyzed robotic-…
View article: Neural insights on expert surgeons’ mental workload during live robotic surgeries
Neural insights on expert surgeons’ mental workload during live robotic surgeries Open
Despite its adoption and benefits, robotic surgeries can impose additional mental workload on surgeons. Validated questionnaires mostly administered at the end of procedures may not accurately capture the dynamic nature of mental workload …
View article: Development and application of a non-technical skills coaching intervention framework for surgeons: A pilot quality improvement initiative
Development and application of a non-technical skills coaching intervention framework for surgeons: A pilot quality improvement initiative Open
Non-technical skills (NTS) challenges experienced by surgeons may degrade performance, ultimately impacting the safety and quality of care delivered to patients. The objectives of this work were to develop a framework for NTS coaching for …
View article: Nontechnical Skills Assessment in Acute Care Trauma Simulations: A Mixed Methods Approach Using Eye Tracking and Behavioral Marker Systems
Nontechnical Skills Assessment in Acute Care Trauma Simulations: A Mixed Methods Approach Using Eye Tracking and Behavioral Marker Systems Open
Introduction The condition of trauma patients and the urgent need for timely resuscitation present unique challenges to trauma teams. These difficulties are exacerbated for military trauma teams in combat environments. Consequently, there …
View article: Detecting Unusual Intravenous Infusion Alerting Patterns with Machine Learning Algorithms
Detecting Unusual Intravenous Infusion Alerting Patterns with Machine Learning Algorithms Open
Objective To detect unusual infusion alerting patterns using machine learning (ML) algorithms as a first step to advance safer inpatient intravenous administration of high-alert medications. Materials and Methods We used one year of detail…
View article: Quantifying the Impact of Infusion Alerts and Alarms on Nursing Workflows: A Retrospective Analysis
Quantifying the Impact of Infusion Alerts and Alarms on Nursing Workflows: A Retrospective Analysis Open
Background Smart infusion pumps affect workflows as they add alerts and alarms in an information-rich clinical environment where alarm fatigue is already a major concern. An analytic approach is needed to quantify the impact of these alert…