Nathan R. Hoot
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View article: Simulated Emergency Room Sign-outs: What They Tell Us About Diagnostic Accuracy and Opportunities for Improvement
Simulated Emergency Room Sign-outs: What They Tell Us About Diagnostic Accuracy and Opportunities for Improvement Open
Objective: Emergency department (ED) sign-outs provide continuity of care for patients at shift changes. However, these periods have been associated with communication breakdowns and medical errors. We explored information factors (stage-o…
View article: Targeted Normoxemia and Supplemental Oxygen–Free Days in Critically Injured Adults
Targeted Normoxemia and Supplemental Oxygen–Free Days in Critically Injured Adults Open
Importance Supplemental oxygen is fundamental to caring for critically injured adults but can expose them to excess inspired oxygen. Objective To determine the safety and effectiveness of targeting normoxemia in critically ill trauma patie…
View article: Evaluating fairness of machine learning prediction of prolonged wait times in Emergency Department with Interpretable eXtreme gradient boosting
Evaluating fairness of machine learning prediction of prolonged wait times in Emergency Department with Interpretable eXtreme gradient boosting Open
It is essential to evaluate performance and assess quality before applying artificial intelligence (AI) and machine learning (ML) models to clinical practice. This study utilized ML to predict patient wait times in the Emergency Department…
View article: Maximizing efficiency in emergency care: triple interventions to minimize left without being seen: An observational study
Maximizing efficiency in emergency care: triple interventions to minimize left without being seen: An observational study Open
Left without being seen (LWBS) is a quality care metric associated with patient-centered outcomes. The risks affecting LWBS are complex and interventions targeting certain risks have diverse effects. We aimed to use different artificial in…
View article: Using natural language processing in emergency medicine health service research: A systematic review and meta‐analysis
Using natural language processing in emergency medicine health service research: A systematic review and meta‐analysis Open
Objectives Natural language processing (NLP) represents one of the adjunct technologies within artificial intelligence and machine learning, creating structure out of unstructured data. This study aims to assess the performance of employin…
View article: Information Factors Impacting Diagnostic Decisions Across Sign-outs: Experimental Study (Preprint)
Information Factors Impacting Diagnostic Decisions Across Sign-outs: Experimental Study (Preprint) Open
BACKGROUND Transitions of care have been associated with breakdowns in communication and medical errors. In emergency departments (ED), sign-outs provide this continuity of care for patients at the physician’s change of shift. Sign-outs a…
View article: Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant
Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant Open
Organ transplant is the essential treatment method for some end-stage diseases, such as liver failure. Analyzing the post-transplant cause of death (CoD) after organ transplant provides a powerful tool for clinical decision making, includi…
View article: Does crowding influence emergency department treatment time and disposition?
Does crowding influence emergency department treatment time and disposition? Open
Local crowding influenced ED treatment times and disposition decisions at 2 hospitals after adjusting for chief complaint and ESI.
View article: Nusinersen for Type 1 Spinal Muscular Atrophy: A Father’s Perspective
Nusinersen for Type 1 Spinal Muscular Atrophy: A Father’s Perspective Open
* Abbreviations:
HINE-2 — : Hammersmith Infant Neurologic Examination,
section 2 — SMA — : spinal muscular atrophy
We thought our younger son was healthy at birth, and we had high hopes for his future. His weak m…
View article: Understanding Emergency Care Delivery Through Computer Simulation Modeling
Understanding Emergency Care Delivery Through Computer Simulation Modeling Open
In 2017, Academic Emergency Medicine convened a consensus conference entitled, “Catalyzing System Change through Health Care Simulation: Systems, Competency, and Outcomes.” This article, a product of the breakout session on “understanding …
View article: Factors Associated With the Likelihood of Hospitalization Following Emergency Department Visits for Behavioral Health Conditions
Factors Associated With the Likelihood of Hospitalization Following Emergency Department Visits for Behavioral Health Conditions Open
Objectives Behavioral health–related emergency department ( ED ) visits have been linked with ED overcrowding, an increased demand on limited resources, and a longer length of stay ( LOS ) due in part to patients being admitted to the hosp…