At present, the U.S. Trustee Program (USTP) relies on a bankruptcy filing process that is not digitally enabled and, therefore, does not support automated screening of claims for potential indicators of fraud, abuse, and error. The conversion to a digital filing process could allow USTP to implement automated screening and expert decision-support protocols to identify filings that present heightened risk. However, such screening would require that USTP define specific risk criteria by which to score individual claims. Other relevant criteria might be developed through statistical analyses of bankruptcy data gathered by the debtor audit project. It is concluded that there are several additional profiling and survey research tasks that USTP might undertake to better formalize indicators of suspicious filings and useful tips, ultimately as a precursor to leveraging digital filings through automated screenings for indicators of fraud, abuse, and error in the future. Sponsored by the U.S. Department of Justice, a study group of experts from the government, academia, and the private sector was formed to assist USTP in thinking about how to better identify and measure fraud, abuse, and error in personal bankruptcy filings. The study group addressed five questions which comprise this report: (1) are there lessons to be learned from how other government programs or the private sector detect fraud and abuse; (2) are there any transferable processes that USTP can consider adopting; (3) how might USTP develop indicators of fraud, abuse, and error; (4) how might USTP consider estimating the prevalence of fraud, abuse, and error; and (5) what future research tasks could USTP conduct to develop data and knowledge that would enable it to more effectively identify fraud, abuse, and error in the bankruptcy system? Appendix, bibliography
Downloads
Similar Publications
- Community Courts: Prospects and Limits
- The Cross-Reactivity of the Cannabinoid Analogs (delta-8-THC, delta-10-THC and CBD) and their metabolites in Urine of Six Commercially Available Homogeneous Immunoassays, Grant Report
- Two-Stage Approach for the Inference of the Source of High-Dimension and Complex Chemical Data in Forensic Science