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Similar Publications

Understanding ACGME Standards for Simulation: A Document Analysis of Institutional and Program Requirements.

J Grad Med Educ

December 2024

is Assistant Dean, Simulation and Student Integration, Graduate Medical Education, Simulation Center Director, and Frank H. Kidd Jr MD Distinguished Professorship in Surgery, UTSW, Dallas, Texas, USA.

Our institution has established priorities for graduate medical education (GME) simulation which include increasing adoption of, garnering additional financial support for, and creating a core simulation curriculum. Better understanding of the Accreditation Council for Graduate Medical Education (ACGME) simulation requirements will inform our efforts and serve as a guide for other institutions. The purpose of this study was to perform a structured review of ACGME simulation standards using a document analysis to guide GME simulation activities at an institutional level.

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Actively Teaching Active Teaching Techniques.

J Educ Teach Emerg Med

October 2024

Medical University of South Carolina, Division of Pediatric Emergency Medicine, Charleston, SC.

Audience: The target audience for this small group workshop are interns and residents of any specialty.

Introduction: All residents are expected to become proficient teachers in a variety of settings as they progress in training, and many residency programs offer advanced training or credentialing in medical education.1,2 Recently, some emergency medicine programs have also begun to offer a formal medical education fellowship.

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A Model for Residency Training: The Small Animal Emergency and Critical Care Residency Program at Purdue University.

J Vet Med Educ

June 2024

Small Animal Emergency and Critical Care, Department of Clinical Sciences, Purdue University College of Veterinary Medicine, 625 Harrison Street, West Lafayette, IN 47906 USA.

Training residents in any specialty is a balancing act between ensuring high-quality education, making certain the resident meets the requirements set forth by the specialty college to achieve credentials and be eligible to take the board certification examination, and fulfilling clinical duties at that institution. For programs such as this one, residents are integral members of the clinical team, working primary emergency receiving shifts in order to allow the service to function; this leads to a need to identify and protect learning time for the residents. Those involved in the Purdue Small Animal Emergency and Critical Care residency program believe that in the chaos that is emergency and critical care, a firm timeline with attainable checkpoints is crucial to resident success.

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Evaluating Performance of ChatGPT on MKSAP Cardiology Board Review Questions.

Int J Cardiol

December 2024

Florida State University College of Medicine Internal Medicine Residency Program at Lee Health, Cape Coral, Florida, USA; Lee Health Heart Institute, Fort Myers, Florida, USA; Florida Heart Associates, Fort Myers, Florida, USA.

Chat Generative Pretrained Transformer (ChatGPT) is a natural language processing tool created by OpenAI. Much of the discussion regarding artificial intelligence (AI) in medicine is the ability of the language to enhance medical practice, improve efficiency and decrease errors. The objective of this study was to analyze the ability of ChatGPT to answer board-style cardiovascular medicine questions by using the Medical Knowledge Self-Assessment Program (MKSAP).

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Context: Osteopathic (Doctor of Osteopathic Medicine [DO]) medical students account for more than 25 % of all medical students in the United States.

Objectives: This study examined the predictive validity of Medical College Admission Test (MCAT) total scores and cumulative undergraduate grade point averages (UGPAs) for performance on the Comprehensive Osteopathic Medical Licensing Examination of the United States (COMLEX-USA) Level 1 and Level 2-CE (Cognitive Evaluation) licensure examinations administered by the National Board of Osteopathic Medical Examiners (NBOME). Additionally, the study examined the degree to which MCAT total scores and UGPAs provide comparable prediction of student performance by key sociodemographic variables.

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