How to detect healthcare fraud? “A systematic review”


Thaifur, Andi Yaumil Bay R. and Maidinc, M. Alimin and sidin, Andi Indahwaty and Razak, Amran (2021) How to detect healthcare fraud? “A systematic review”. Gaceta Sanitaria, 35 (2). S441-S449. ISSN 0213-9111

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Abstract (Abstrak)

Objective:
To identify the method used in detecting fraud cases.
Methods:
Articles searching by using topic-appropriate keywords and incorporated into search engines (data-based) journals Pubmed/Medline, Cochrane, Wiley, ScienceDirect, and secondary data-based Google scholar.
Then data extraction is done based on inclusion criteria.
The selected articles have the aim of investigating/detecting cases of fraud that have occurred in the health sector or other related sectors that support the study.
Results:
The findingsof the nine reviewed articles have suggested that most of the fraud perpetrators are performed by medical personnel (doctors) and providers.
Many types of fraud occur such as insurance claims or medical actions that are completely unadministered nor following the procedure and duplicating claims.
The methods that appropriate to be used in detecting fraud are secondary data tracking, information, and technology specialist provision.
Conclusion:
Secondary data tracking is the most widely used method in fraud detection. Fraud perpetrators are ones who dominated by medical circles with fictitious claim cases. Perpetrators tend not to act themselves but in organizations with network.

Item Type: Article
Subjects: R Medicine > R Medicine (General)
R Medicine > RA Public aspects of medicine
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions (Program Studi): Fakultas Kesehatan Masyarakat > Administrasi Rumah Sakit
Depositing User: wahyuni aras
Date Deposited: 20 Sep 2023 13:00
Last Modified: 20 Sep 2023 13:00
URI: http://repository.unhas.ac.id:443/id/eprint/28982

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