1. Mainly for Operational-level use2. Automating repetitive nursing duties

1. Job security concerns2. Focus on documentation, scheduling, and report generation

1. AI integration with monitoring and therapy planning systems2. Highlighted advanced assistive technologies cost - barrier

1. AI to assist and not to serve or replace2. Accountability and liability

1. multidisciplinary AI applications2. change management and system-level integration

1. Worried about skill decay2. Career disruptor

1. All groups described AI as a “co-pilot” — valuable for assistance but not autonomy.2. AI recognized as time-saving and accuracy-enhancing across clinical, academic, and admin settings.3. All cadres demanded structured AI training, clear SOPs, and ethical guidelines.

1. Efficiency & Speed2. Support Role (Not Replacement)3. Overreliance & Loss of Clinical Thinking4. Reliability & Accuracy Gap

1. Academic & Research Support2. Clinical Documentation & Imaging Support3. Administrative & Workflow Simplification4. Teaching & Learning Applications

1. Efficiency & Time Saving2. Workflow Support & Integration3. Institutional Support & Governance4. Peer Learning & Change Management

1. Support Role with Human Oversight2. Responsible & Ethical Uses3. Guidelines & Governance Needs4. Data Management & Clinical Decision Support

1. Generational Gap in Adoption2. Accountability Burden on Nurses3. Loss of Fundamental Clinical Skills4. Limits in Patient Interaction & Human Touch

1. Academic & Research Support; 2. Clinical Documentation & Imaging Support3. Administrative & Workflow Simplification4. Teaching & Learning Applications

Color Codes■ Common Highlights across all groups■ Unique Highlights across all groups■ Group Discussion Departments■ Each theme characteristics■ Themes Classification

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