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 significantadvancements, particularly in the realm of health record management. This study explores theimpact of AI on the efficiency of health record management systems and its subsequentimplications for organizational performance and patient satisfaction. Utilizing a mixedmethods approach, including surveys and case studies, the research evaluates theimplementation of AI-driven solutions in healthcare institutions. The findings highlight thetransformative effects of AI on health record management, showcasing improved dataaccuracy, accessibility, and overall system efficiency. AI algorithms contribute to faster dataprocessing, timely retrieval of patient information, and enhanced decision-makingcapabilities for healthcare professionals. These advancements not only streamline internalorganizational processes but also positively influence patient outcomes. The research alsoaddresses the impact of AI on patient satisfaction. Through comprehensive surveys andanalysis, the study reveals that patients appreciate the improved accessibility of their healthrecords, personalized treatment plans facilitated by AI-driven insights, and the overallenhancement of healthcare service delivery. Additionally, the study identifies potentialchallenges and ethical considerations associated with AI in healthcare, shedding light on theimportance of maintaining a balance between technological innovation and ethical standards.In conclusion, this research underscores the positive effects of incorporating AI in healthrecord management systems. The findings provide valuable insights for healthcareorganizations seeking to enhance their operational efficiency, optimize resources, and elevatepatient satisfaction through the strategic integration of AI technologies.

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