Application of Artificial Intelligence in Reducing Nursing Workload and Enhancing Patient Care Efficiency in the Digital Era
Keywords:
Artificial Intelligence, Nursing Workload, Nursing Informatics, Patient Care EfficiencyAbstract
Background and Objective: Artificial Intelligence (AI) has emerged as a transformative technology in healthcare systems. This article aims to review empirical evidence and academic literature regarding the application of AI in reducing nursing workload and enhancing patient care quality in the digital era.
Results: The findings revealed that AI plays significant roles in three main areas: 1) Reducing documentation burden through Natural Language Processing (NLP) technology, including speech recognition, automated note generation, and data extraction from medical records; 2) Clinical surveillance using Machine Learning (ML) through clinical decision support systems, false alarm reduction, and medical image processing; and 3) Administrative and service innovations, such as workload-based staffing management and chatbot systems for patient inquiries. However, the implementation of AI in nursing practice faces several limitations and challenges, including data bias, patient privacy concerns, legal liability issues, and the digital divide.
Conclusion: AI should be positioned as "Augmented Intelligence" that works collaboratively with nurses rather than replacing them. Therefore, nursing organizations should prepare nursing informatics competencies to effectively integrate technology for genuinely enhancing patient care quality.
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