Artificial intelligence in nursing: Priorities and opportunities from an international invitational think‐tank of the Nursing and Artificial Intelligence Leadership Collaborative
Abstract Aim To develop a consensus paper on the central points of an international invitational think‐tank on nursing and artificial intelligence (AI). Methods We established the Nursing and Artificial Intelligence Leadership (NAIL) Collaborative, comprising interdisciplinary experts in AI development, biomedical ethics, AI in primary care, AI legal aspects, philosophy of AI in health, nursing practice, implementation science, leaders in health informatics practice and international health informatics groups, a representative of patients and the public, and the Chair of the ITU/WHO Focus Group on Artificial Intelligence for Health. The NAIL Collaborative convened at a 3‐day invitational think tank in autumn 2019. Activities included a pre‐event survey, expert presentations and working sessions to identify priority areas for action, opportunities and recommendations to address these. In this paper, we summarize the key discussion points and notes from the aforementioned activities. Imp
Abstract Aim To develop a consensus paper on the central points of an international invitational think‐tank on nursing and artificial intelligence (AI). Methods We established the Nursing and Artificial Intelligence Leadership (NAIL) Collaborative, comprising interdisciplinary experts in AI development, biomedical ethics, AI in primary care, AI legal aspects, philosophy of AI in health, nursing practice, implementation science, leaders in health informatics practice and international health informatics groups, a representative of patients and the public, and the Chair of the ITU/WHO Focus Group on Artificial Intelligence for Health. The NAIL Collaborative convened at a 3‐day invitational think tank in autumn 2019. Activities included a pre‐event survey, expert presentations and working sessions to identify priority areas for action, opportunities and recommendations to address these. In this paper, we summarize the key discussion points and notes from the aforementioned activities. Implications for nursing Nursing's limited current engagement with discourses on AI and health posts a risk that the profession is not part of the conversations that have potentially significant impacts on nursing practice. Conclusion There are numerous gaps and a timely need for the nursing profession to be among the leaders and drivers of conversations around AI in health systems. Impact We outline crucial gaps where focused effort is required for nursing to take a leadership role in shaping AI use in health systems. Three priorities were identified that need to be addressed in the near future: (a) Nurses must understand the relationship between the data they collect and AI technologies they use; (b) Nurses need to be meaningfully involved in all stages of AI: from development to implementation; and (c) There is a substantial untapped and an unexplored potential for nursing to contribute to the development of AI technologies for global health and humanitarian efforts.
Executive Summary
The article discusses the integration of artificial intelligence (AI) in nursing, highlighting the need for the nursing profession to take a leadership role in shaping AI use in health systems. The Nursing and Artificial Intelligence Leadership Collaborative identified three priorities: understanding the relationship between data collection and AI technologies, involving nurses in all stages of AI development and implementation, and exploring nursing's potential to contribute to AI development for global health and humanitarian efforts.
Key Points
- ▸ Nursing's limited engagement with AI discourses poses a risk to the profession's influence on AI's impact on nursing practice
- ▸ The need for nurses to understand the relationship between data collection and AI technologies
- ▸ The importance of involving nurses in all stages of AI development and implementation
Merits
Interdisciplinary approach
The article's use of an interdisciplinary collaborative, comprising experts from various fields, provides a comprehensive understanding of AI's integration in nursing.
Demerits
Limited scope
The article's focus on nursing may overlook the broader implications of AI on the healthcare system as a whole.
Expert Commentary
The article highlights the critical need for the nursing profession to take an active role in shaping the integration of AI in healthcare. By doing so, nurses can ensure that AI technologies are developed and implemented in a way that prioritizes patient care and safety. Furthermore, the article's emphasis on the importance of interdisciplinary collaboration underscores the need for a holistic approach to AI integration in healthcare, one that considers the perspectives and expertise of all stakeholders involved.
Recommendations
- ✓ Establishing ongoing education and training programs for nurses to develop skills in AI and data analysis
- ✓ Encouraging healthcare organizations to involve nurses in AI development and implementation decision-making processes