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Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis01:24

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The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
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Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Planning for learning involves the development of a teaching plan. Teaching plans are similar to nursing care plans—both follow the steps of the nursing process. Planning in the teaching process involves setting goals and outcomes. Here, goals identify what a patient needs to achieve to understand a healthcare topic better, whereas the outcomes are the action to be performed by the patient to achieve the goal within a timeframe. For example, if the goal is to educate the patient about...
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一种基于实践的方法,用人工智能和游戏化学习来教授抗菌疗法.

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  • 1Institute for Medical Microbiology and Virology, University of Leipzig Medical Center, Liebigstraße 21, 04103 Leipzig, Germany.

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游戏化学习和人工智能 (AI) 显著改善了医学学生的抗生素管理 (ABS) 知识和处方信心. 人工智能有效地识别了学习差距,为医疗教育中可扩展的,人工智能辅助的教学铺平了道路.

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科学领域:

  • 医学教育 医学教育
  • 传染性疾病 传染性疾病
  • 人工智能的人工智能

背景情况:

  • 可扩展的教学方法在学术实践中越来越重要.
  • 医学学生需要有效的抗生素管理 (ABS) 培训.
  • 人工智能 (AI) 和游戏化为增强学习提供了潜力.

研究的目的:

  • 评估游戏化学习对医学学生知识和抗生素处方不确定性的影响.
  • 评估AI在评估与抗生素管理相关的自由形式答案中的实用性.
  • 探索针对抗生素管理的可扩展教学方法.

主要方法:

  • 为46名自选的医学学生提供了四个简短的ABS课程.
  • 一个问卷评估了微生物学,传染病和药学方面的知识,以及抗生素处方能力.
  • 游戏化学习机制和人工智能用于自由形式的答案评估.

主要成果:

  • 对三个主题的正确回答问题的显著改善.
  • 在处方抗生素时提高了自我评估的安全性.
  • 人工智能有效地识别了学生的学习差距和需要进一步指导的领域.

结论:

  • 结合游戏化学习和人工智能的跨学科短课程大大改善了ABS学习.
  • 尽管人工智能是一个正在发展中的技术,但它显示出在ABS中扩大基于导师的教学的潜力.
  • 游戏化学习和人工智能是提高抗生素管理医疗教育的可行方法.