The Impact of Artificial Intelligence on Administrative Productivity in Healthcare: A Systematic Review of Operational Efficiency and Burden Reduction

Abstract

Background: Healthcare organizations face increasing administrative complexities that strain productivity and operational efficiency. Artificial Intelligence (AI) has emerged as a transformative tool to automate routine tasks, streamline workflows, and alleviate the administrative burden on healthcare professionals. However, there is limited consolidated evidence on AI’s impact specifically on administrative productivity within the healthcare sector.
Objective: This systematic review aims to evaluate the impact of AI technologies on administrative productivity in healthcare settings, focusing on improvements in operational efficiency and the reduction of administrative burdens.
Methods: A systematic search was conducted across major databases including PubMed, Scopus, Web of Science, and IEEE Xplore for studies published between 2016 and 2025. Studies were selected based on predefined inclusion criteria, emphasizing AI applications in healthcare administration. Data were extracted and synthesized to assess the types of AI tools used, productivity outcomes, and efficiency metrics. Quality assessment was conducted using standardized appraisal tools.
Results: Twenty-eight studies met the inclusion criteria. The findings revealed that AI technologies such as robotic process automation (RPA), natural language processing (NLP), and AI-powered scheduling systems significantly improved task completion times, reduced manual data entry, and enhanced workflow coordination. Most studies reported measurable gains in operational efficiency and a substantial reduction in administrative workload, allowing staff to allocate more time to patient-centered activities.
Conclusion: AI has demonstrated considerable potential in improving administrative productivity and operational efficiency in healthcare. By automating repetitive tasks and optimizing administrative workflows, AI can reduce the burden on healthcare administrators. Future research should explore long-term impacts, cost-effectiveness, and best practices for AI integration in diverse healthcare environments.