Developing and Evaluating Large Language Model-Generated Emergency Medicine Handoff Notes.

Importance: An emergency medicine (EM) handoff note generated by a large language model (LLM) has the potential to reduce physician documentation burden without compromising the safety of EM-to-inpatient (IP) handoffs.

Objective: To develop LLM-generated EM-to-IP handoff notes and evaluate their accuracy and safety compared with physician-written notes.

Design, Setting, And Participants: This cohort study used EM patient medical records with acute hospital admissions that occurred in 2023 at NewYork-Presbyterian/Weill Cornell Medical Center.

Understanding Why People Experiencing a Mental Health Crisis Leave the Emergency Department Before Care: A Qualitative Interpretive Study.

A number of people experiencing a mental health crisis who present to a hospital emergency department (ED) do not wait (DNW) for assessment or care and leave. This phenomenon is poorly understood and offers an opportunity to enhance quality of care. We sought to understand the characteristics and reasons of those who DNW for assessment or care, and what happens after leaving the ED.

Aspiring to clinical significance: Insights from developing and evaluating a machine learning model to predict emergency department return visit admissions.

Return visit admissions (RVA), which are instances where patients discharged from the emergency department (ED) rapidly return and require hospital admission, have been associated with quality issues and adverse outcomes. We developed and validated a machine learning model to predict 72-hour RVA using electronic health records (EHR) data. Study data were extracted from EHR data in 2019 from three urban EDs.

A longitudinal meta-analysis of range restriction estimates and general mental ability validity coefficients: Better addressing overcorrection amid decline effects.

Psychometric corrections can be crucial for obtaining valid operational results, but concerns are rising about potential overcorrections for general mental ability (GMA) validity coefficients. Our two-part study identifies a source of overprediction: using national norms rather than recent local applicant pool variance for range restriction corrections. Study 1 demonstrates increasing homogeneity in Wonderlic occupational applicant pool variance across four data time waves, suggesting they are no longer interchangeable with the general working population, a divergence attributable to a rise in education.

Applications of Transition Metal-Catalyzed -Fluorine-Directed C-H Functionalization of (Poly)fluoroarenes in Organic Synthesis.

The synthesis of organic compounds efficiently via fewer steps but in higher yields is desirable as this reduces energy and reagent use, waste production, and thus environmental impact as well as cost. The reactivity of C-H bonds to fluorine substituents in (poly)fluoroarenes with metal centers is enhanced relative to and positions. Thus, direct C-H functionalization of (poly)fluoroarenes without prefunctionalization is becoming a significant area of research in organic chemistry.