Two people in California have been arrested and charged in connection with an alleged insurance fraud scheme involving the theft of patient identities and the submission of false insurance claims.
Rebecca Juarez, 39, and Juan Pablo Rodriguez, 31, both of Irvine, were charged after the California Department of Insurance launched an investigation after several Orange County residents reported unauthorized use of their personal information.
The residents noticed charges for medical tests and treatments they did not receive on their health insurers’ explanation of benefits and contacted the Orange County Sheriff’s Department.
Authorities allege that Juarez, who worked at a Mission Viejo medical practice, accessed the facility’s computerized medical records system without authorization. Investigators say she obtained the personally identifying information of more than 21 patients and provided it to Rodriguez.
Rodriguez, who had access to a San Jose medical practice’s billing system, is accused of creating false medical records for procedures, including COVID-19 tests, that were never performed.
According to the investigation, Rodriguez submitted these false records through the San Jose practice’s insurance billing system, resulting in fraudulent claims to various medical insurers. The unauthorized billing activity reportedly took place between August and November 2023. Officials estimate the intended loss to insurance companies exceeded $10,000.
Earlier this month, Juarez and Rodriguez were arraigned in Orange County Superior Court on two counts of conspiracy, 21 counts of medical insurance fraud, and 21 counts of identity fraud. Both were granted conditional releases pending further court proceedings.
The case comes amid a broader surge in identity theft-driven insurance fraud across the United States. The National Insurance Crime Bureau (NICB) has warned that identity theft cases tied to insurance fraud could rise nearly 50% by the end of 2025.
Losses from synthetic identities – fabricated personas created from a mix of real and fake data – have already contributed to more than $47 billion in losses last year, according to AARP. The NICB notes that the use of artificial intelligence and digital platforms is making it easier for criminals to generate convincing false identities, which has prompted insurers to invest in machine-learning tools to detect fraud earlier
NICB data also shows that nearly a quarter of questionable insurance claims between 2022 and mid-2025 involved synthetic identities. These schemes are increasingly difficult to trace and resolve, which allows fraudulent activity to persist for longer periods and increases the risk of financial losses for insurers and consumers alike.
As identity-driven fraud becomes more prevalent, insurers are under mounting pressure to invest in detection technology and share intelligence across the sector. Industry analysts warn that if these losses continue to mount, policyholders could see higher premiums as a result.
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