Designing a national framework for preventing fraud in Iran’s health system: a sequential mixed-methods study using qualitative analysis and Delphi consensus [PDF]
Objectives To design and validate a comprehensive, expert-informed national framework to prevent and control fraud and misconduct in Iran’s health system.
Elaheh Hooshmand, Ali Vafaee Najar
doaj +2 more sources
Data driven healthcare insurance system using machine learning and blockchain technologies [PDF]
Healthcare recommendations and insurance have recently been one of the most emerging research areas in health informatics. The fraud in health insurance is becoming increasingly common day by day.
Irum Matloob +5 more
doaj +3 more sources
Artificial intelligence applications in health insurances: a scoping review [PDF]
Introduction The rapid evolution of technology has reshaped the insurance industry, with artificial intelligence (AI) taking center stage as a key driver of innovation.
Maryam Ramezani-a +11 more
doaj +2 more sources
Holistic approach to fraud management in health insurance
Fraud present an immense problem for health insurance companies and the only way to fight fraud is by using specialized fraud management systems.
Štefan Furlan, Marko Bajec
doaj +2 more sources
Examining the potential of mobile money-based health insurance for people living with HIV and hypertension or diabetes in Uganda [PDF]
BackgroundDigital technologies are increasingly promoted as alternative pathways for financing universal health coverage (UHC) in sub-Saharan Africa, yet evidence on their acceptability among informal-sector populations remains limited.
Henry Zakumumpa +6 more
doaj +2 more sources
Using large language models for enhanced fraud analysis and detection in blockchain based health insurance claims [PDF]
Traditional health insurance claim processing systems are plagued by inefficiencies and vulnerabilities, often resulting in significant financial losses due to fraudulent activities.
Ruba Islayem +6 more
doaj +2 more sources
In this study, the author discusses one of the problems regarding the Urgency of Criminalization of Fraud in the Implementation of the Health Insurance Program in Indonesia.
Solehuddin Solehuddin
doaj +1 more source
A Study of Health Insurance Fraud in China and Recommendations for Fraud Detection and Prevention
Healthcare insurance fraud influences not only organizations by overburdening the already fragile healthcare systems, but also individuals in terms of increasing premiums in health insurance and even fatalities. Identifying the behavioral characteristics of fraudulent claims can help shed light on the development of artificial intelligence and machine ...
Jie Li 0061 +4 more
openaire +1 more source
Prediction of Insurance Fraud Detection using Machine Learning Algorithms
In current era, people are influenced with various types of insurance such as health insurance, automobile insurance, property insurance and travel insurance, due to the availability of extensive knowledge related to insurance.
Laiqa Rukhsar +3 more
doaj +1 more source
Sequence Embeddings Help Detect Insurance Fraud
Roughly 10 percent of the insurance industry’s incurred losses are estimated to stem from fraudulent claims. One solution is to use tabular data to construct models that can distinguish between claims that are legitimate and those that are ...
Ivan Fursov +6 more
doaj +1 more source

