STIKBARSTIKBAR

Public Health of IndonesiaPublic Health of Indonesia

Background: The national healthcare insurance (JKN) has been in deficit since 2014-2016; one of the causes is fraud inpatient hospital service.. Objective: This study aimed to analyze the validity, reliability and effectiveness of detection system of national healthcare insurance fraud based on computer application in hospital.. Methods: Cross-sectional method was used. Fraud data were collected at one episode in the inpatient JKN participant service.. Results: Validity was assessed by Fischer exact test. The interpretation was done by hospital internal verification officer and BPJS Kesehatan verification officer. There were only 2 out of 1.106 services claims were different, resulted in p-value < 0.01. Reliability was assessed using Human Organization Technology Benefit questionnaire filled by admission administrator officer, BPJS Kesehatan officer and hospital internal verification officer; and then analyzed using Stata® software resulting in Cronbachs alpha value of > 0.8. Effectiveness was assessed by reducing potential fraud, conducted by RSUP dr. Soeradji Tirtonegoro from May until July 2017, which on May 2018 there were 8 findings, June 1 finding, and on July 2018 had no finding.. Conclusion: is valid, reliable and effective to be implemented in inpatient service in hospital.

The study concludes that the system for detecting national healthcare insurance fraud based on computer application is valid, reliable, and effective for implementation in inpatient hospital services.The implementation of this system led to a significant reduction in potential fraud cases observed at RSUP dr.Further adoption of this system in other hospitals is recommended to improve the efficiency and integrity of the national healthcare insurance program.

Based on the studys findings and limitations, future research should focus on automating the computer application to streamline the fraud detection process and reduce the workload on hospital staff. Additionally, integrating the application with existing hospital information systems and INA-CBG software would enhance its efficiency and data accuracy. Finally, expanding the range of fraud indicators included in the system, through further investigation and analysis, will improve its ability to identify a wider spectrum of fraudulent activities and strengthen the overall integrity of the JKN program. These improvements will contribute to a more robust and effective system for safeguarding healthcare resources and ensuring equitable access to quality care for all Indonesian citizens.

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