E l e vat i n g A I C o m p ete n c y S k i l l s
fo r N u rs e M a n a ge rs
AG ENDA |
INTRODUCTION
BAC KG RO U N D / S I G N I F I C AN C E O F PO I
P U R P O S E S TAT E M E N T
B R I E F R E V I E W O F L I T E R AT U R E
CONCEPTUAL OR THEORETICAL FRAMEWORK
Presented by:
Tamera Sutton, MSN, RN, NI-BC | School of
Nursing, The University of Texas at Austin
BAC KG RO UN D/ SIGN IFICAN CE O F PO I
 The integration of artificial intelligence (AI) in healthcare is transforming the
role of nurse managers.
 In the healthcare setting, clinicians, leaders, and providers often have a
varying understanding of artificial intelligence and its potential to support
workflows and enhance efficiencies.
 AI healthcare use cases are limited to radiology, oncology, and cardiology to
assist with diagnostics; however, nursing is making a slower evolution.
 Nurse managers quite often have the hardest role to manage in a healthcare
setting
 Nurse leader's perceptions, drivers, and motivations for using technology can
significantly impact implementation and adoption.
 Nurses and nurse leaders are cautiously excited about artificial intelligence
with concerns regarding privacy, ethical concerns, and the future role of AI
 A competency program specifically designed for them will ensure they are
equipped with the necessary skills to effectively utilize AI tools for enhancing
patient care, streamlining operations, and improving team dynamics.
PURPOSE STATEMENT
AIM: To understand how nurse managers with relevant digital competencies perceive the usefulness of AI in
administrative workflows.
 Research Question
 What is the perceived usefulness of AI for nurse managers in hospital settings?
 Specific Objectives:
 Explore types of AI used
 Analyze characteristics of nurse managers using AI
 Explore resources available to nurse managers to support their competency
PROJECT TYPE
Program Development and Evaluation
• Competency Needs Assessment
• Define Program Objectives
• Curriculum Development
• Implementation
• Evaluation
• Continuous Improvement
REVIEW OF LITERATURE
AUTHOR
ARTICLE
JOURNAL
YEAR
Brommeyer et al.
Developing health management competency for digital health
transformation: protocol for a qualitative study
JMIR Research Protocols
2023
Wynn et al.
Digital nursing practice theory: A scoping review and thematic analysis
Journal of Advanced Nursing
2023
Ergin et al.
Artificial intelligence and robot nurses: From nurse managers'
perspective: a descriptive cross-sectional study
Journal of Nursing Management
2022
Martinez
Digital transformation led priorities: A qualitative study
Journal of Nursing Management
2024