Artificial Intelligence Transforming Healthcare: Insights from a Systematic Review on Nursing, Midwifery, Radiology, Pharmacy, Health Administration, and Social Work Applications
Main Article Content
Abstract
Background:
Artificial Intelligence (AI) is rapidly transforming the healthcare industry by providing innovative solutions to enhance efficiency, accuracy, and patient outcomes. Its applications span multiple healthcare domains, including nursing, midwifery, radiology, pharmacy, health administration, and social work. In nursing, AI supports decision-making and workflow optimization, while in midwifery, it assists in maternal and fetal health monitoring. Radiology has benefited significantly from AI's ability to analysed medical imaging with high precision, and pharmacy has seen advancements in drug discovery and personalized medicine. Health administration utilizes AI to streamline operational processes, improve resource allocation, and support data-driven decision-making. In social work, AI aids in identifying social determinants of health, enabling targeted interventions and improving access to care. Despite its potential, integrating AI into healthcare presents challenges, including ethical concerns and data security.
Aim:
This systematic review aims to explore and analyze the role of AI in healthcare, focusing on its applications in nursing, midwifery, radiology, pharmacy, health administration, and social work. The study seeks to identify the benefits, challenges, and future opportunities for AI integration in these domains to enhance healthcare delivery.
Methods:
A systematic review of the literature was conducted using peer-reviewed journals and reputable databases. The search strategy focused on publications related to AI in healthcare, specifically in nursing, midwifery, radiology, pharmacy, health administration, and social work. Articles were selected based on their relevance, methodological rigor, and recent contributions to the field. Data were extracted and synthesized to identify key themes, benefits, and challenges associated with AI applications.
Results:
AI demonstrated significant potential across all domains. In nursing, it improved care delivery through predictive analytics and decision-support systems. Midwifery benefited from enhanced monitoring and early detection of complications in maternal and fetal health. Radiology saw breakthroughs in medical imaging interpretation, aiding early disease detection. In pharmacy, AI accelerated drug discovery and personalized treatment development. Health administration leveraged AI for resource management, predictive modeling, and process optimization. In social work, AI facilitated the analysis of complex social data, enabling effective interventions and improved care for vulnerable populations. Common challenges included ethical considerations, data privacy concerns, and the need for comprehensive regulatory frameworks.
Conclusion:
AI is revolutionizing healthcare, offering numerous benefits while also posing challenges that must be addressed for successful integration. By leveraging its capabilities responsibly, AI has the potential to transform healthcare delivery, improving outcomes and advancing the quality of care across nursing, midwifery, radiology, pharmacy, health administration, and social work.