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http://dx.doi.org/10.22156/CS4SMB.2022.12.02.184

Analysis of the propensity of medical expenses for auto insurance patients by type of medical institution  

Ha, Au-Hyun (Department of Health Administration, Busan Digital University)
Publication Information
Journal of Convergence for Information Technology / v.12, no.2, 2022 , pp. 184-191 More about this Journal
Abstract
This study aims to provide basic information necessary to find an efficient management plan for patients using auto insurance. The analysis was conducted on the five-year auto insurance medical expenses review data registered in the health care bigdata Hub from 2016 to 2020. As a result of the analysis, the number one composition ratio of auto insurance inpatient treatment expenses was treatment and surgery fees for Certified tertiary hospitals, hospitalization fees for general hospitals, hospitals and clinics, and treatment and surgery fees for oriental medical institutions and dental hospitals. outpatient treatment expenses was doctor's fee for medical institution, treatment and surgery fees for oriental medical institutions and dental hospitals. The ratio of medication, anesthesia, and special equipment significantly affected the cost of inpatient. And the ratio of physical therapy significantly affected the cost of outpatient.
Keywords
Auto Insurance; Propensity of Medical Expenses; Composition ratio of Medical Treatment; Healthcare Bigdata Hub; Medical institution;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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