Publications by authors named "Carl Preiksaitis"

Background: Many patients first learn of a pregnancy in the emergency department (ED). However, limited ED physician knowledge in pregnancy disclosure and options counseling may contribute to challenges in patient care and potential missed opportunities for timely access to reproductive care. No standardized instruments exist to teach or assess this important communication skill for the ED physicians.

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Background: Increasing diversity in the health care workforce has been shown to improve patient health care and create psychological safety for employees who feel marginalized and underrepresented. While several measures exist for increasing racial and ethnic diversity in the physician workforce, few programs target expanding representation among physician assistants (PAs). Despite increasing the role and responsibility of PAs in the emergency department (ED), there remains a significant lack of diversity within this group.

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Objective: Emergency medicine (EM) physicians face high burnout rates, even in academic settings. Research on burnout among EM residency program leaders is limited, despite their role in shaping the training environment and influencing resident well-being. This study aims to measure burnout and professional fulfillment among EM residency program leaders and identify contributing factors.

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The US Supreme Court's 2022 ruling in overturned , allowing individual states to determine abortion restrictions, significantly impacting graduate medical education (GME). While focus has been on states enacting restrictions, the impacts in states where abortion rights are safeguarded are equally important. Emergency medicine (EM) serves as a safety net within the health care system, making it ideal for understanding the broader implications of these legal changes on GME.

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Background: The emergency medicine (EM) landscape has evolved due to the increasing number of programs paired with fewer applicants. This study analyzed the characteristics of EM residency programs associated with unfilled positions during the 2024 Match and compared them with data from the 2023 Match to identify persistent and emerging trends influencing these outcomes.

Methods: In this cross-sectional, observational study, we investigated factors associated with unfilled EM residency positions in the 2024 Match.

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Introduction: The number and characteristics of pregnant patients presenting to the emergency department (ED) has not been well described. Our objective in this study was to determine the prevalence and characteristics of pregnant patients presenting to EDs in the US between 2010-2020.

Methods: We completed a retrospective, cross-sectional study of patient encounters at hospital-based EDs in the US from 2010-2020.

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Background: Textbooks are often considered the criterion standard in medical education, but there is a growing preference for free open-access medical education (FOAM) content among learners. Despite FOAM's appeal, these resources often fall short in covering core content as comprehensively as the American Board of Emergency Medicine's 2019 Model of the Clinical Practice of Emergency Medicine (MCPEM), thereby sustaining the recommendation for textbook use. However, textbooks have limitations, such as how quickly content can become outdated.

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Background: Artificial intelligence (AI), more specifically large language models (LLMs), holds significant potential in revolutionizing emergency care delivery by optimizing clinical workflows and enhancing the quality of decision-making. Although enthusiasm for integrating LLMs into emergency medicine (EM) is growing, the existing literature is characterized by a disparate collection of individual studies, conceptual analyses, and preliminary implementations. Given these complexities and gaps in understanding, a cohesive framework is needed to comprehend the existing body of knowledge on the application of LLMs in EM.

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Objectives: The primary objective of this study was to assess the feasibility of initiating medical abortions in a large, academic emergency department (ED) in the United States.

Methods: A retrospective case series analysis was conducted to evaluate a protocol for initiating medical abortion in the ED implemented from January 2020 to October 2023 at an academic, tertiary care hospital in California, USA. Participants included ED patients diagnosed with pregnancies in the first trimester that were undesired and who opted for medical abortion.

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Objectives: Letters of recommendation (LORs) are essential within academic medicine, affecting a number of important decisions regarding advancement, yet these letters take significant amounts of time and labor to prepare. The use of generative artificial intelligence (AI) tools, such as ChatGPT, are gaining popularity for a variety of academic writing tasks and offer an innovative solution to relieve the burden of letter writing. It is yet to be determined if ChatGPT could aid in crafting LORs, particularly in high-stakes contexts like faculty promotion.

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Background: Missingness in health care data poses significant challenges in the development and implementation of artificial intelligence (AI) and machine learning solutions. Identifying and addressing these challenges is critical to ensuring the continued growth and accuracy of these models as well as their equitable and effective use in health care settings.

Objective: This study aims to explore the challenges, opportunities, and potential solutions related to missingness in health care data for AI applications through the conduct of a digital conference and thematic analysis of conference proceedings.

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Background: Generative artificial intelligence (AI) technologies are increasingly being utilized across various fields, with considerable interest and concern regarding their potential application in medical education. These technologies, such as Chat GPT and Bard, can generate new content and have a wide range of possible applications.

Objective: This study aimed to synthesize the potential opportunities and limitations of generative AI in medical education.

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Purpose Of Review: The emergency department serves as an essential access point for a variety of healthcare services. This review will examine the recent expansion of family planning and reproductive health services in the emergency department.

Recent Findings: An increasing number of patients present to emergency departments for early pregnancy loss (EPL), abortion care, and contraceptive management.

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Study Objective: The unprecedented number of unfilled emergency medicine post-graduate year 1 (PGY-1) residency positions in the 2023 National Resident Matching Program shocked the emergency medicine community. This study investigates the association between emergency medicine program characteristics and the likelihood of unfilled positions in the 2023 Match.

Methods: This cross-sectional, observational study examined 2023 National Resident Matching Program data, focusing on program type, length, location, size, proximity to other programs, previous American Osteopathic Association (AOA) accreditation, first accreditation year, and emergency department ownership structure.

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Background: Innovation and entrepreneurship training are increasingly recognized as being important in medical education. However, the lack of faculty comfort with the instruction of these concepts as well as limited scholarly recognition for this work has limited the implementation of curricula focused on these skills. Furthermore, this lack of familiarity limits the inclusion of practicing physicians in health care innovation, where their experience is valuable.

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Use of the term "confederate" is often used in research literature to describe an individual allied with the research team. Confederate is used in simulation research to describe participants allied with the simulation facilitator. Confederate can also refer to the Confederate States of America and has connotations of racial injustice and slavery.

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Study Objective: The use of social media by health professionals is widespread. However, there is a lack of training to support the effective use of these novel platforms that account for the nuances of an effective health and research communication. We sought to identify the competencies needed by health care professionals to develop an effective social media presence as a medical professional, with the goal of building a social media curriculum.

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Background: Chronic lung allograft dysfunction (CLAD) is a major cause of allograft loss post-lung transplantation. Prior studies have examined the association between respiratory virus infection (RVI) and CLAD were limited by older diagnostic techniques, study design, and case numbers. We examined the association between symptomatic RVI and CLAD using modern diagnostic techniques in a large contemporary cohort of lung transplant recipients (LTRs).

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