Sustainable Business Models in Artificial Intelligence-Integrated Nursing: A Qualitative Study of Opportunities and...

Area of Science:

• Nursing
• Healthcare Management
• Artificial Intelligence

Background:

• Sustainable business models are increasingly important in healthcare.
• Integrating Artificial Intelligence (AI) into nursing presents unique opportunities and risks.
• Understanding stakeholder perceptions is key to successful AI adoption.

Purpose of the Study:

• To examine the perceived opportunities and risks of sustainable business models in AI-integrated nursing.
• To gather insights from diverse nursing stakeholders including practitioners, educators, researchers, administrators, and policymakers.

Main Methods:

• Qualitative research design utilizing an interpretivist paradigm.
• Data collection through 41 semi-structured interviews and three focus groups.
• Thematic analysis of transcripts following Braun and Clarke's framework.

Main Results:

• Four themes emerged: opportunities for sustainable practice, patient-centered benefits, organizational/economic aspects, and risks/challenges.
• AI can reduce administrative burden, enhance patient safety, support professional growth, and improve resilience.
• Concerns include data security, ethical dilemmas, professional identity resistance, and financial/infrastructural barriers.

Conclusions:

• AI holds significant potential for sustainable nursing systems with proper governance, policy, and workforce support.
• Addressing ethical, cultural, and infrastructural challenges is vital for effective AI integration.
• Successful AI integration can enhance nursing practice and promote equitable, patient-centered care.