Nursing education is in the process of incorporating critical thinking, social justice, and health inequality perspectives into educational structures, aspiring to help nursing students develop into professional nurses prepared to provide equal care. Norm criticism is a pedagogical philosophy that promotes social justice. This qualitative case study aimed to gain an understanding of and elaborate on an educational development initiative in which norm criticism was incorporated into the composition of a new campus-based clinical learning environment for nursing education. By analyzing documents and interviews with the help of reflexive thematic analysis three themes were generated: "Intention to educate beyond nursing education," "Educating in alliance with society," and "The educative ambiguity of the Clinical Learning Centre." The case study indicates that the incorporation of norm criticism into a campus-based clinical learning environment may encourage nursing students to evolve social skills for nursing practice that support health equality within healthcare. By collaborating with society, nursing education can considerably improve its educational frameworks in alignment with societal demands. However, the inclusion of norm criticism in a setting such as a campus-based clinical learning environment entails a clash with established institutionalized norms and being perceived as too proximate to politics.
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http://dx.doi.org/10.1111/nin.12597 | DOI Listing |
Brief Bioinform
November 2024
Biotherapeutics Molecule Discovery, Boehringer Ingelheim Pharmaceutical Inc., 900 Ridgebury Road, Ridgefield, CT 06877, United States.
Antibody generation requires the use of one or more time-consuming methods, namely animal immunization, and in vitro display technologies. However, the recent availability of large amounts of antibody sequence and structural data in the public domain along with the advent of generative deep learning algorithms raises the possibility of computationally generating novel antibody sequences with desirable developability attributes. Here, we describe a deep learning model for computationally generating libraries of highly human antibody variable regions whose intrinsic physicochemical properties resemble those of the variable regions of the marketed antibody-based biotherapeutics (medicine-likeness).
View Article and Find Full Text PDFJMIR Med Educ
January 2025
Centre for Digital Transformation of Health, University of Melbourne, Carlton, Australia.
Background: Learning health systems (LHS) have the potential to use health data in real time through rapid and continuous cycles of data interrogation, implementing insights to practice, feedback, and practice change. However, there is a lack of an appropriately skilled interprofessional informatics workforce that can leverage knowledge to design innovative solutions. Therefore, there is a need to develop tailored professional development training in digital health, to foster skilled interprofessional learning communities in the health care workforce in Australia.
View Article and Find Full Text PDFHealth Educ Behav
January 2025
NYU, New York, NY, USA.
Heavy drinking is a major public health concern, particularly among young adults who often experience fear of being stigmatized when seeking help for alcohol-related problems. To address drinking concerns outside clinical settings, we tested the feasibility of a novel imagery-based behavior change strategy led by student lay interventionists in a college setting. Participants were adults recruited on a college campus and were randomized to either learn the four steps of WOOP (Wish, Outcome, Obstacle, and Plan) or to learn a format-matched Sham WOOP (Wish, Outcome, "Outcome," and Plan).
View Article and Find Full Text PDFERJ Open Res
January 2025
Copenhagen Academy for Medical Education and Simulation, Rigshospitalet, The Capital Region of Denmark, Copenhagen, Denmark.
Rationale: Flexible bronchoscopy is an operator-dependent procedure. An automatic bronchial identification system based on artificial intelligence (AI) could help bronchoscopists to perform more complete and structured procedures through automatic guidance.
Methods: 101 participants were included from six different continents at the European Respiratory Society annual conference in Milan, 9-13 September 2023.
Front Artif Intell
January 2025
Department of Clinical and Administrative Pharmacy, University of Georgia College of Pharmacy, Augusta, GA, United States.
Background: Large language models (LLMs) have demonstrated impressive performance on medical licensing and diagnosis-related exams. However, comparative evaluations to optimize LLM performance and ability in the domain of comprehensive medication management (CMM) are lacking. The purpose of this evaluation was to test various LLMs performance optimization strategies and performance on critical care pharmacotherapy questions used in the assessment of Doctor of Pharmacy students.
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