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  1. Maloney S, Tunnecliff J, Morgan P, Gaida J, Keating J, Clearihan L, et al.
    JMIR Med Educ, 2017 Mar 30;3(1):e5.
    PMID: 28360023 DOI: 10.2196/mededu.6357
    BACKGROUND: Professional development is essential in the health disciplines. Knowing the cost and value of educational approaches informs decisions and choices about learning and teaching practices.

    OBJECTIVE: The primary aim of this study was to conduct a cost analysis of participation in continuing professional development via social media compared with live conference attendance.

    METHODS: Clinicians interested in musculoskeletal care were invited to participate in the study activities. Quantitative data were obtained from an anonymous electronic questionnaire.

    RESULTS: Of the 272 individuals invited to contribute data to this study, 150 clinicians predominantly from Australia, United States, United Kingdom, India, and Malaysia completed the outcome measures. Half of the respondents (78/150, 52.0%) believed that they would learn more with the live conference format. The median perceived participation costs for the live conference format was Aus $1596 (interquartile range, IQR 172.50-2852.00). The perceived cost of participation for equivalent content delivered via social media was Aus $15 (IQR 0.00-58.50). The majority of the clinicians (114/146, 78.1%, missing data n=4) indicated that they would pay for a subscription-based service, delivered by social media, to the median value of Aus $59.50.

    CONCLUSIONS: Social media platforms are evolving into an acceptable and financially sustainable medium for the continued professional development of health professionals. When factoring in the reduced costs of participation and the reduced loss of employable hours from the perspective of the health service, professional development via social media has unique strengths that challenge the traditional live conference delivery format.
  2. Mageswaran N, Ismail NAS
    JMIR Med Educ, 2022 Feb 03;8(1):e31392.
    PMID: 35084354 DOI: 10.2196/31392
    In this viewpoint, we share and reflect on the experiences of final-year students preparing for a high-stakes examination at the Faculty of Medicine, Universiti Kebangsaan Malaysia during the COVID-19 pandemic. We highlight the new challenges faced during web-based remote learning and major differences in the clinical learning environment at our teaching hospital, which was one of the designated COVID-19 centers in Malaysia. We also document how a face-to-face professional examination was conducted for final-year medical students at our institution despite in times of a global health crisis. The lessons learned throughout this process address the importance of resilience and adaptability in unprecedented times. Further, we recommend appropriate measures that could be applied by medical schools across the world to improve the delivery of quality medical education during a crisis in the years to come.
  3. Khlaif ZN, Mousa A, Hattab MK, Itmazi J, Hassan AA, Sanmugam M, et al.
    JMIR Med Educ, 2023 Sep 14;9:e47049.
    PMID: 37707884 DOI: 10.2196/47049
    BACKGROUND: Artificial intelligence (AI) has many applications in various aspects of our daily life, including health, criminal, education, civil, business, and liability law. One aspect of AI that has gained significant attention is natural language processing (NLP), which refers to the ability of computers to understand and generate human language.

    OBJECTIVE: This study aims to examine the potential for, and concerns of, using AI in scientific research. For this purpose, high-impact research articles were generated by analyzing the quality of reports generated by ChatGPT and assessing the application's impact on the research framework, data analysis, and the literature review. The study also explored concerns around ownership and the integrity of research when using AI-generated text.

    METHODS: A total of 4 articles were generated using ChatGPT, and thereafter evaluated by 23 reviewers. The researchers developed an evaluation form to assess the quality of the articles generated. Additionally, 50 abstracts were generated using ChatGPT and their quality was evaluated. The data were subjected to ANOVA and thematic analysis to analyze the qualitative data provided by the reviewers.

    RESULTS: When using detailed prompts and providing the context of the study, ChatGPT would generate high-quality research that could be published in high-impact journals. However, ChatGPT had a minor impact on developing the research framework and data analysis. The primary area needing improvement was the development of the literature review. Moreover, reviewers expressed concerns around ownership and the integrity of the research when using AI-generated text. Nonetheless, ChatGPT has a strong potential to increase human productivity in research and can be used in academic writing.

    CONCLUSIONS: AI-generated text has the potential to improve the quality of high-impact research articles. The findings of this study suggest that decision makers and researchers should focus more on the methodology part of the research, which includes research design, developing research tools, and analyzing data in depth, to draw strong theoretical and practical implications, thereby establishing a revolution in scientific research in the era of AI. The practical implications of this study can be used in different fields such as medical education to deliver materials to develop the basic competencies for both medicine students and faculty members.

  4. Wong RS, Ming LC, Raja Ali RA
    JMIR Med Educ, 2023 Nov 21;9:e47274.
    PMID: 37988149 DOI: 10.2196/47274
    As we progress deeper into the digital age, the robust development and application of advanced artificial intelligence (AI) technology, specifically generative language models like ChatGPT (OpenAI), have potential implications in all sectors including medicine. This viewpoint article aims to present the authors' perspective on the integration of AI models such as ChatGPT in clinical medicine and medical education. The unprecedented capacity of ChatGPT to generate human-like responses, refined through Reinforcement Learning with Human Feedback, could significantly reshape the pedagogical methodologies within medical education. Through a comprehensive review and the authors' personal experiences, this viewpoint article elucidates the pros, cons, and ethical considerations of using ChatGPT within clinical medicine and notably, its implications for medical education. This exploration is crucial in a transformative era where AI could potentially augment human capability in the process of knowledge creation and dissemination, potentially revolutionizing medical education and clinical practice. The importance of maintaining academic integrity and professional standards is highlighted. The relevance of establishing clear guidelines for the responsible and ethical use of AI technologies in clinical medicine and medical education is also emphasized.
  5. Al-Worafi YM, Goh KW, Hermansyah A, Tan CS, Ming LC
    JMIR Med Educ, 2024 Jan 12;10:e47339.
    PMID: 38214967 DOI: 10.2196/47339
    BACKGROUND: Artificial Intelligence (AI) plays an important role in many fields, including medical education, practice, and research. Many medical educators started using ChatGPT at the end of 2022 for many purposes.

    OBJECTIVE: The aim of this study was to explore the potential uses, benefits, and risks of using ChatGPT in education modules on integrated pharmacotherapy of infectious disease.

    METHODS: A content analysis was conducted to investigate the applications of ChatGPT in education modules on integrated pharmacotherapy of infectious disease. Questions pertaining to curriculum development, syllabus design, lecture note preparation, and examination construction were posed during data collection. Three experienced professors rated the appropriateness and precision of the answers provided by ChatGPT. The consensus rating was considered. The professors also discussed the prospective applications, benefits, and risks of ChatGPT in this educational setting.

    RESULTS: ChatGPT demonstrated the ability to contribute to various aspects of curriculum design, with ratings ranging from 50% to 92% for appropriateness and accuracy. However, there were limitations and risks associated with its use, including incomplete syllabi, the absence of essential learning objectives, and the inability to design valid questionnaires and qualitative studies. It was suggested that educators use ChatGPT as a resource rather than relying primarily on its output. There are recommendations for effectively incorporating ChatGPT into the curriculum of the education modules on integrated pharmacotherapy of infectious disease.

    CONCLUSIONS: Medical and health sciences educators can use ChatGPT as a guide in many aspects related to the development of the curriculum of the education modules on integrated pharmacotherapy of infectious disease, syllabus design, lecture notes preparation, and examination preparation with caution.

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