EFFECT OF ARTIFICIAL INTELLIGENCE IN EFFICIENT HEALTH RECORD MANAGEMENT: IMPLICATIONS FOR ORGANIZATIONAL PERFORMANCE AND PATIENTS SATISFACTION

Abstract

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.