Effect of Artificial Intelligence in Efficient Health Record Management: Implications for Organizational Performance and Patients Satisfaction

Abstrak

The integration of Artificial Intelligence (AI) in healthcare has witnessed significant advancements, particularly in the realm of health record management. This study explores the impact of AI on the efficiency of health record management systems and its subsequent implications for organizational performance and patient satisfaction. Utilizing a mixedmethods approach, including surveys and case studies, the research evaluates the implementation of AI-driven solutions in healthcare institutions. The findings highlight the transformative effects of AI on health record management, showcasing improved data accuracy, accessibility, and overall system efficiency. AI algorithms contribute to faster data processing, timely retrieval of patient information, and enhanced decision-making capabilities for healthcare professionals. These advancements not only streamline internal organizational processes but also positively influence patient outcomes. The research also addresses the impact of AI on patient satisfaction. Through comprehensive surveys and analysis, the study reveals that patients appreciate the improved accessibility of their health records, personalized treatment plans facilitated by AI-driven insights, and the overall enhancement of healthcare service delivery. Additionally, the study identifies potential challenges and ethical considerations associated with AI in healthcare, shedding light on the importance of maintaining a balance between technological innovation and ethical standards. In conclusion, this research underscores the positive effects of incorporating AI in health record management systems. The findings provide valuable insights for healthcare organizations seeking to enhance their operational efficiency, optimize resources, and elevate patient satisfaction through the strategic integration of AI technologies.

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