Public Health of Indonesia (Jun 2018)

SYSTEM FOR DETECTION OF NATIONAL HEALTHCARE INSURANCE FRAUD BASED ON COMPUTER APPLICATION

  • Budi Santoso,
  • Julita Hendrartini,
  • Bambang Udji Djoko Rianto,
  • Laksono Trisnantoro

DOI
https://doi.org/10.36685/phi.v4i2.199
Journal volume & issue
Vol. 4, no. 2
pp. 46 – 56

Abstract

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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 0.8. 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: System for detection of national healthcare insurance fraud based on computer application is valid, reliable and effective to be implemented in inpatient service in hospital.

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