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AINURSE Framework
AI Nurse Education Consultants
Based on the position statements from the ANA, QSEN, ACEN, and CCNE, AI Nurse Consultants researched and developed the AINURSE Framework. The guiding principle of the framework is to ensure that AI doesn't replace human intelligence but is utilized as a tool to enhance the educator's effectiveness. The framework is used as a guide and template to ensure efficacy and safety in the utilization of AI within Nursing Education Programs.
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1. Aiding Human Coordination​
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Outcome: Improved coordination and reduced administrative burden by enhanced coordination among faculty members, students, and administrative staff
Cross-reference: QSEN emphasizes teamwork and collaboration as key competencies, highlighting the importance of streamlined coordination to improve healthcare outcomes (QSEN, 2023).
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2. Integrating AI Ethically
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Outcome: Maintains ethical standards and enhances fairness in evaluations
Cross-reference: The ANA Position Statement emphasizes ethical practice in AI usage, ensuring fairness and transparency in educational processes (ANA, 2023). QSEN aligns by advocating for ethical decision-making in the use of technology to enhance fairness and accountability (QSEN, 2023).
3. Navigating Educational Pathways​​
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Outcome: Improved student success and professional growth
Cross-reference: The ACEN Standards advocate for personalized and student-centered learning approaches to foster professional growth and educational success (ACEN, 2023). QSEN supports the use of technology to individualize learning pathways for nursing students (QSEN, 2023).
4. Utilizing Advanced Technologies​
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Outcome: Enhanced learning experiences and practical skills
Cross-reference: Virtual reality and simulation-based learning are explicitly supported by QSEN competencies as methods to improve experiential and practical learning opportunities for students (QSEN, 2023). The ACEN Standards also emphasize the integration of innovative teaching strategies, including simulation, to enhance nursing education (ACEN, 2023).
5. Reviewing and Improving Practices​​
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Outcome: Continuous improvement in teaching methods and curriculum design
Cross-reference: QSEN competencies emphasize quality improvement processes, including the use of data analytics to refine educational and clinical outcomes (QSEN, 2023). The ANA highlights the importance of evidence-based improvements driven by data insights to enhance educational practices (ANA, 2023).
6. Securing Data and Privacy​
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Outcome: Secure and trustworthy educational environment
Cross-reference: The ANA emphasizes the need for robust data security measures to ensure the confidentiality and trustworthiness of healthcare and educational environments (ANA, 2023). QSEN competencies also recognize the importance of secure technology use to maintain patient and institutional trust (QSEN, 2023).
7. Engaging and Empowering Educators and Students​​
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Outcome: Empowered educators and engaged students to embrace technology in healthcare and education
Cross-reference: QSEN advocates for the integration of collaborative tools to enhance communication, teamwork, and innovation in nursing education (QSEN, 2023). The ANA supports leveraging AI to empower educators and foster student engagement through creative solutions (ANA, 2023).​​​
Resources
​Accreditation Commission for Education in Nursing (ACEN). (2023). 2023 Standards and Criteria. Retrieved from https://www.acenursing.org/accreditation/standards-and-criteria
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American Nurses Association (ANA). (2023). The Ethical Use of Artificial Intelligence in Nursing Practice. Retrieved https://www.nursingworld.org/globalassets/practiceandpolicy/nursing-excellence/ana-position-statements/the-ethical-use-of-artificial-intelligence-in-nursing-practice_bod-approved-12_20_22.pdf
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OpenAI. (n.d.). Best practices for prompt engineering with the OpenAI API. OpenAI Help Center. Retrieved July 13, 2024, from https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-the-openai-api
OpenAI. (n.d.). GPT’s data privacy FAQs. OpenAI Help Center. Retrieved July 13, 2024, from https://help.openai.com/en/articles/8554402-gpts-data-privacy-faqs
Riley, C. (2024). Incorporating artificial intelligence into nursing education: Challenges and recommendations. NCSBN Leader to Leader. Retrieved from https://www.ncsbn.org/public-files/LTL_Spring2024.pdf
Quality and Safety Education for Nurses (QSEN). (2023). QSEN Pre-Licensure KSAs Full Document. Retrieved from https://www.qsen.org/competencies-pre-licensure-ksas