26 papers
This mixed-methods feasibility study demonstrates that implementing a structured onboarding program for new graduate Advanced Practice Providers in a community emergency department is a well-accepted and effective strategy for enhancing transition to practice, mentorship, and retention.
This retrospective cross-sectional analysis of 2019 data reveals significant gaps between India's Health Management and Information System emergency department utilization figures and the Global Burden of Disease estimates for emergency medical conditions, highlighting the need for improved data integration and reporting to address regional disparities.
This paper presents a comprehensive machine learning framework using the MIMIC-IV-ED dataset to demonstrate that gradient boosting algorithms outperform both traditional clinical scores and deep learning models in predicting critical emergency department outcomes, thereby enabling more efficient dynamic patient routing and resource allocation.
This study demonstrates that deep neural network analysis of facial photographs taken upon emergency admission provides a powerful, independent predictor of mortality risk that significantly outperforms and complements traditional triage scores, vital signs, and laboratory tests.
This paper demonstrates that designing open-source assistive technology with early-stage considerations for local manufacturing variability—such as material and equipment differences—ensures the replicability, mechanical reliability, and cost-effectiveness of 3D-printed forearm crutches in low-resource settings.
This mixed-methods study identifies that while emergency clinicians value trauma clinical guidance, its effectiveness is hindered by accessibility and design issues, necessitating the development of concise, mobile-friendly resources tailored to time-pressured and diverse clinical settings.