5 Ways AI is Transforming Nursing Education

Useful 应用程序s From the Classroom to the Clinic

Most people get into nursing with the intention to touch—or even save—people’s lives by providing outstanding clinical care. 仍然, nurses are only as good as what they know, 这就是为什么护理教育领域一直在寻找更有效地培训护士的方法.

主管, 在所有类型的医疗环境中，熟练的护士对患者的结果都有非常实际的影响. And because healthcare is often one of the first industries to benefit from advancing technology like artificial intelligence, we’re already beginning to see AI make a significant impact on nursing education and the rest of the medical field.

Like many aspects of our society, AI has the potential to revolutionize nursing education for students, 教练, 以及教育机构. Let’s take a closer look at a few of the most important ways artificial intelligence is poised to transform how we teach and train nurses.

1. AI-Enhanced Curriculum Development

To ensure each generation of nurses is better-prepared than the last, 培训项目的持续评估是护理教育的重要组成部分. 因为人工智能辅助平台可以以闪电般的速度处理大量信息, they have incredible potential to identify knowledge gaps, 冗余, or other opportunities for improvement in nursing curriculum. Analyzing curricula with the aid of AI can help teaching materials remain current in a fast-evolving healthcare industry.

AI also has a number of useful applications for educators. 它有可能帮助制定课程计划和试题, 并为批改作业和其他耗时的任务节省大量时间. By streamlining nursing educators’ workloads, 人工智能增强的平台可以让他们有更多的机会与学生建立个人联系.

2. Personalized 学习ing and Adaptive Assessment

学习ing styles vary significantly between individuals. Some people absorb material best through listening, 而其他人则需要视觉辅助或实践经验来巩固某些概念. One of the greatest challenges in any educational setting is adapting the material to suit different learning styles, and AI-assisted learning shows great promise in doing just that.

人工智能算法可以帮助为每个学生和他们的学习方式量身定制教育内容. 例如, an auditory learner may listen to a verbal explanation, while a visual learner is shown a helpful infographic. By catering content to each student’s learning needs, it gives them the best chance to successfully retain the material. 毕竟, when an on-duty nurse is responding to an emergency, 他们如何学会采取哪些行动并不重要，重要的是他们一开始就学会了这些行动!

Throughout the course of a nursing student’s education, 人工智能驱动的评估平台还可以在作业过程中提供实时反馈, 小测验, 或测试. This can be highly useful in helping students master the material, 因为他们接受量身定制的指导，而主题仍然是最重要的, 而不是等到一个操劳过度的老师给他们的作业打分. And because spotting patterns is one of AI’s biggest strengths, it can help students discover any areas where they’re struggling, 并将他们与他们需要的辅导或学习资源联系起来，使他们保持在正轨上.

3. Simulation and Virtual Reality (VR) Training

说到在充满挑战的情况下保持冷静，经验是无可替代的. Encountering realistic clinical scenarios during their education prepares newly trained nurses to perform under pressure when they’re working in a real patient-care environment.

沉浸式模拟在磨练动手技能和临床决策方面非常有效, 人工智能有可能使培训平台对护理专业的学生更有利. Artificial intelligence pairs perfectly with VR technology that places nursing students into a believable clinical environment—complete with patients who may be anxious, 在痛苦中, 甚至没有反应. “智能”人体模型在护理学校也变得越来越普遍, 使用人工智能通信模拟器，提供细致入微的互动实践培训体验.

AI-powered platforms can introduce new variables and difficulty levels into training scenarios to develop nurses’ skills, 本能, and clinical reasoning abilities. AI can also expose nurses to rare scenarios or complications they may not otherwise encounter until several years into their careers. Training in realistic simulations without putting patients at risk helps nursing students build confidence and emotional resilience and prepares them for success during their supervised clinical rotations.

4. Predictive Analytics for 学生 Success

Whether it’s due to life circumstances or academic difficulties, 许多有潜力成为优秀护士的学生在他们的教育过程中需要一些额外的支持. AI-powered predictive analytics platforms can help identify students who may be at risk of dropping out and connect them with the resources they need to overcome their challenges.

By using AI algorithms to analyze data points like attendance, 任务的参与, and access to tutoring resources, 教育机构可以提供非评判性的干预，帮助学生走上正轨. 有时, a conversation with a trusted teacher or academic advisor is all it takes to remind someone they have options, 人工智能辅助分析可以主动向那些可能永远不会寻求帮助的学生伸出援手.

Educational institutions that use analytics to keep students engaged in achieving their goals have experienced higher graduation rates and improved student retention. Empowering nursing students to succeed with the latest learning technology not only creates life-changing career opportunities, 这是解决持续的医疗人员短缺问题的关键部分.

5. 临床决策支持中的人工智能

Clinical decisions are made after considering all the available data, and AI has the potential to assist nurses in making better-informed care decisions by analyzing large quantities of patient information. 人工智能辅助的临床决策支持系统有可能建议下一步的步骤, calculate the odds of a patient’s condition deteriorating, or provide information about safety concerns.

这些见解可以帮助护士发展他们的临床决策技能, learn to connect the dots between various indicators, and reduce the risk of medication errors, 误诊, or other common mistakes that can compromise patient safety. AI platforms can also integrate diagnostics and imaging data to help healthcare providers spot pathologies more easily.

Artificial intelligence can’t replace the expertise, 本能, and observation skills of experienced nurses. But it can provide them with powerful tools to help safeguard patients and maintain a safe and efficient care environment. 随着技术的发展, AI and machine learning platforms continue to enable new ways for healthcare organizations to improve patient outcomes and better support their nursing staff.

AI in Nursing Education: Challenges and Ethical Considerations

虽然人工智能对护士和护理专业的学生有许多迷人的潜在应用, it’s not without its challenges and concerns. 的 use of AI in nursing education—and healthcare in general—raises some important ethical considerations that must be addressed if we hope to achieve true health equity.

AI algorithms are trained and programmed by humans, who are subject to many forms of conscious and unconscious bias. 没有足够的监督, this could cause marginalized groups to experience similar biases from AI platforms that they often experience in current care settings. As AI applications in healthcare increase in number and scope, we must take intentional steps to ensure emerging AI tech uses algorithms programmed to be as inclusive and culturally aware as possible.

Since AI algorithms are trained using large volumes of data, privacy concerns with sensitive health data also come into play. 人工智能平台只有在患者同意的情况下，才能使用为此特定目的提供的数据进行训练. Like with all advancing technologies, 透明度,  问责制, and expert oversight are paramount in ensuring ethical standards keep up with the latest developments and applications.

由于人工智能是一种新兴技术，它还没有受到政府或卫生组织的良好监管. 随着人工智能变得越来越普遍，监管政策可能会出现, 重要的是，它们的创建要考虑到患者和公众的最大利益.

Prepare for a Changing Healthcare Landscape at 普洛佛大学

As AI becomes more powerful and better-trained, 几乎可以肯定的是，在未来几年，它将彻底改变医疗行业. From fine-tuned curricula and personalized learning experiences to realistic simulations and useful clinical tools, AI has the potential to help future generations of nurses train more effectively and provide higher-quality patient care.

If you’re considering a career in nursing, it’s important to choose an educational program that gives you the skills and confidence to adapt to rapidly evolving healthcare technologies. 的 护理学学士学位 program at 普洛佛大学 旨在帮助您在现代bbin大全/bbin白菜平台大全环境中取得成功, 沉浸式VR培训工具，让你为真正的临床遭遇做好准备.

Looking for more information about a career as an RN? 学习 how to become a registered nurse, or explore potential specialties among the 收入最高的护理工作.