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Challenges facing the distribution of an artificial-intelligence-based system for nursing
Journal of Medical Systems
|April 1, 1985
Summary
Marketing artificial intelligence decision-support systems for nurses faces unique challenges. Overcoming these requires addressing nursing culture and organizational structures, not just physician-based AI models.
Area of Science:
- Nursing Informatics
- Artificial Intelligence in Healthcare
Background:
- Artificial intelligence (AI) decision-support systems (DSS) offer potential benefits in healthcare.
- Current AI applications in medicine are largely physician-oriented, focusing on diagnosis and treatment.
Purpose of the Study:
- To identify barriers and challenges in marketing and distributing AI-based DSS for nursing.
- To highlight the need for tailored strategies considering nursing' unique professional culture and organizational contexts.
Main Methods:
- Literature review and analysis of existing AI applications in healthcare.
- Comparative analysis of physician-oriented AI models versus potential nursing-specific AI needs.
Main Results:
- Nursing AI-DSS face distinct marketing and distribution challenges compared to physician-focused systems.
- Nursing professional culture and organizational structures present significant barriers.
- Existing AI literature generalizations from physician applications require modification for nursing.
Conclusions:
- Successful implementation of AI-DSS in nursing necessitates understanding and addressing profession-specific cultural and organizational factors.
- Future AI development for nursing must move beyond physician-centric models.
- Tailored strategies are crucial for effective adoption of AI decision support in nursing practice.