Tex.
Human Resources Code Section 22.029
Project for Fraud Detection and Prevention Through Data Matching
(a)
In order to enhance the state’s ability to detect and prevent fraud in the payment of claims under federal and state entitlement programs, the commission shall implement a data matching project as described by Subsection (b). The costs of developing and administering the data matching project shall be paid entirely from amounts recovered by participating agencies as a result of potential fraudulent occurrences or administrative errors identified by the project.(b)
The project shall involve the matching of database information among all agencies using electronic funds transfer and other participating agencies. The commission shall contract through a memorandum of understanding with each agency participating in the project. After the data has been matched, the commission shall furnish each participating agency with a list of potential fraudulent occurrences or administrative errors.(c)
Each agency participating in a matching cycle shall document actions taken to investigate and resolve fraudulent issues noted on the list provided by the commission. The commission shall compile the documentation furnished by participating agencies for each matching cycle.(d)
Agencies participating under Subsection (b) shall cooperate fully with the commission in the prompt provision of data in the requested format, for the identification of suspected fraudulent occurrences, or administrative errors as the commission may otherwise reasonably request in order to carry out the intent of this section.(e)
The commission and participating agencies providing source data for the project shall take all necessary steps to protect the confidentiality of information provided as part of this project, in compliance with all existing state and federal privacy guidelines.
Source:
Section 22.029 — Project for Fraud Detection and Prevention Through Data Matching, https://statutes.capitol.texas.gov/Docs/HR/htm/HR.22.htm#22.029 (accessed Jun. 5, 2024).
