48 research outputs found

    The Use of Artificial Intelligence to Detect Students Sentiments and Emotions in Gross Anatomy Reflections

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    Students\u27 reflective writings in gross anatomy provide a rich source of complex emotions experienced by learners. However, qualitative approaches to evaluating student writings are resource heavy and timely. To overcome this, natural language processing, a nascent field of artificial intelligence that uses computational techniques for the analysis and synthesis of text, was used to compare health professional students\u27 reflections on the importance of various regions of the body to their own lives and those of the anatomical donor dissected. A total of 1365 anonymous writings (677 about a donor, 688 about self) were collected from 132 students. Binary and trinary sentiment analysis was performed, as well as emotion detection using the National Research Council Emotion Lexicon which classified text into eight emotions: anger, fear, sadness, disgust, surprise, anticipation, trust, and joy. The most commonly written about body regions were the hands, heart, and brain. The reflections had an overwhelming positive sentiment with major contributing words “love” and “loved.” Predominant words such as “pain” contributed to the negative sentiments and reflected various ailments experienced by students and revealed through dissections of the donors. The top three emotions were trust, joy, and anticipation. Each body region evoked a unique combination of emotions. Similarities between student self-reflections and reflections about their donor were evident suggesting a shared view of humanization and person centeredness. Given the pervasiveness of reflections in anatomy, adopting a natural language processing approach to analysis could provide a rich source of new information related to students\u27 previously undiscovered experiences and competencies

    Data Collection Instrument for Full Accreditation Surveys

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    The Liaison Committee on Medical Education’s (LCME) Data Collection Instrument for the UNM Health and Science Center. This third party accreditation gives exhaustive information on the HSC and its consistency with established standards

    Training New Dental Health Providers in the U.S. (Full Report)

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    This 52 page report explores the interest and need to establish new midlevel dental providers in the U.S. The genesis of this interest is concern about access to care for underserved populations whose higher oral disease rates and unmet oral care needs are well documented.  This document was published December 2009 and updated June 2010

    Medical Education for the 21st Century

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    Medical education has undergone a substantial transformation from the traditional models of the basic classroom, laboratory, and bedside that existed up to the late 20th century. The focus of this text is to review the spectrum of topics that are essential to the training of 21st-century healthcare providers. Modern medical education goes beyond learning physiology, pathophysiology, anatomy, pharmacology, and how they apply to patient care. Contemporary medical education models incorporate multiple dimensions, including digital information management, social media platforms, effective teamwork, emotional and coping intelligence, simulation, as well as advanced tools for teaching both hard and soft skills. Furthermore, this book also evaluates the evolving paradigm of how teachers can teach and how students can learn – and how the system evaluates success

    Adviser\u27s Guide to Health Care, Volume 2: Consulting Services

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    https://egrove.olemiss.edu/aicpa_guides/2721/thumbnail.jp

    Dedicated Poster Abstracts

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    Adviser\u27s guide to health care: Volume 2, Professional Practices

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    https://egrove.olemiss.edu/aicpa_guides/1801/thumbnail.jp

    The Future Health Workforce: Integrated Solutions and Models of Care

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    This edited collection brings together a diverse set of original research and review articles that contribute towards a unified objective of redesigning the future health workforce. Our fundamental premise is that the future health workforce needs to be more closely aligned to population needs and be able to address emerging challenges of the 21st century. • The collection includes 13 articles (11 original research; 2 review) from nine countries. • Original research articles that contributed to this special issue came from Australia, Brazil, Canada, China, Japan, South Korea, Sweden, the United Kingdom and the United States of America. • The collection features a range of health professionals including medical, dental, nursing, allied health, social work, and health management workforce. This unique piece of scholarship adds to ongoing global efforts on health workforce integration, universal health coverage, and creating sustainable and people-centric health system

    2014 - 2015 University Catalog

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    This is a one-year Catalog, effective beginning Summer Quarter 2014. Volume 104, Number 1, July 2014https://scholarsrepository.llu.edu/univcatalog/1002/thumbnail.jp
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