Application Research of Refined Management System based on Big Data and Intelligent Supervision in the field of Medical Insurance
Pages 527 - 532
Abstract
This study explores the establishment of a refined management system for medical insurance in hospitals and its impact on hospital administration. By designing a systematic structural framework and a rule base, functional modules that closely resemble the hospital's actual business scenarios have been constructed, thereby extending medical insurance supervision from post-event to in-process and pre-event monitoring. Based on medical insurance management practices, the study analyzes the functions of the refined medical insurance management system and its application effectiveness in medical insurance administration. Comparative experimental data indicate that after the system's implementation, violations of medical insurance regulations have significantly decreased, the efficiency of medical insurance management has improved, the quality of hospital management has been enhanced, and hospital operating costs have been reduced. The application of the refined management system for medical insurance in hospitals contributes to upgrading the hospital's governance capabilities and medical insurance management level, ensuring the safety and rational use of medical insurance funds.
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Index Terms
- Application Research of Refined Management System based on Big Data and Intelligent Supervision in the field of Medical Insurance
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Published In
August 2024
967 pages
ISBN:9798400717826
DOI:10.1145/3706890
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 13 January 2025
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ISAIMS 2024
ISAIMS 2024: 2024 5th International Symposium on Artificial Intelligence for Medicine Science
August 13 - 17, 2024
Amsterdam, Netherlands
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Overall Acceptance Rate 53 of 112 submissions, 47%
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