Implementing AI-Driven Clinical Workflow Automation to Reduce Physician Burnout and Enhance Operational Efficiency in Tertiary Care Hospitals

Anna R. George

Authors

Anna R. George USA Author

Keywords:

AI in Healthcare, Workflow Automation, Physician Burnout, Hospital Operations, Clinical Efficiency, Healthcare Technology, Digital Health, Tertiary Care Optimization

Abstract

Tertiary care hospitals, often characterized by complex patient loads and high operational demands, have witnessed an alarming rise in physician burnout and systemic inefficiencies. This study explores the integration of artificial intelligence (AI)-driven workflow automation as a transformative solution to these challenges. By automating administrative and clinical tasks such as patient triaging, diagnostic reporting, and scheduling, AI offers the potential to enhance operational efficiency, reduce cognitive overload, and restore work-life balance for medical professionals. Drawing from a range of global case studies and peer-reviewed literature published prior to 2024, this paper critically evaluates AI's implementation in tertiary care environments, measuring its impact on workforce satisfaction and hospital performance indicators. The findings support a strong correlation between AI adoption and reductions in documentation time, error rates, and burnout symptoms among physicians.

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